cleaned up randomly generated obstacle collision code

@agent/agent.m

@@ -0,0 +1,40 @@
+classdef agent
+    properties (SetAccess = private, GetAccess = public)
+        % Identifiers
+        index = NaN;
+        label = "";
+
+        % Sensor
+        sensorModel;
+        sensingLength = 0.05; % length parameter used by sensing function
+
+        % Guidance
+        guidanceModel;
+
+        % State
+        lastPos = NaN(1, 3); % position from previous timestep
+        pos = NaN(1, 3); % current position
+        vel = NaN(1, 3); % current velocity
+        pan = NaN; % pan angle
+        tilt = NaN; % tilt angle
+
+        % Collision
+        collisionGeometry;
+
+        % FOV cone
+        fovGeometry;
+
+        % Communication
+        comRange = NaN;
+
+        % Plotting
+        scatterPoints;
+    end
+
+    methods (Access = public)
+        [obj] = initialize(obj, pos, vel, pan, tilt, collisionGeometry, sensorModel, guidanceModel, comRange, index, label);
+        [obj] = run(obj, sensingObjective, domain, partitioning);
+        [obj, f] = plot(obj, ind, f);
+        updatePlots(obj);
+    end
+end

@agent/initialize.m

@@ -0,0 +1,33 @@
+function obj = initialize(obj, pos, vel, pan, tilt, collisionGeometry, sensorModel, guidanceModel, comRange, index, label)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'agent')};
+        pos (1, 3) double;
+        vel (1, 3) double;
+        pan (1, 1) double;
+        tilt (1, 1) double;
+        collisionGeometry (1, 1) {mustBeGeometry};
+        sensorModel (1, 1) {mustBeSensor}
+        guidanceModel (1, 1) {mustBeA(guidanceModel, 'function_handle')};
+        comRange (1, 1) double = NaN;
+        index (1, 1) double = NaN;
+        label (1, 1) string = "";
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'agent')};
+    end
+
+    obj.pos = pos;
+    obj.vel = vel;
+    obj.pan = pan;
+    obj.tilt = tilt;
+    obj.collisionGeometry = collisionGeometry;
+    obj.sensorModel = sensorModel;
+    obj.guidanceModel = guidanceModel;
+    obj.comRange = comRange;
+    obj.index = index;
+    obj.label = label;
+
+    % Initialize FOV cone
+    obj.fovGeometry = cone;
+    obj.fovGeometry = obj.fovGeometry.initialize([obj.pos(1:2), 0], tan(obj.sensorModel.alphaTilt) * obj.pos(3), obj.pos(3), REGION_TYPE.FOV, sprintf("%s FOV", obj.label));
+end

@agent/plot.m

@@ -0,0 +1,35 @@
+function [obj, f] = plot(obj, ind, f)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'agent')};
+        ind (1, :) double = NaN;
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'agent')};
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
+    end
+
+    % Create axes if they don't already exist
+    f = firstPlotSetup(f);
+
+    % Plot points representing the agent position
+    hold(f.Children(1).Children(end), "on");
+    o = scatter3(f.Children(1).Children(end), obj.pos(1), obj.pos(2), obj.pos(3), 'filled', 'ko', 'SizeData', 25);
+    hold(f.Children(1).Children(end), "off");
+
+    % Check if this is a tiled layout figure
+    if strcmp(f.Children(1).Type, 'tiledlayout')
+        % Add to other perspectives
+        o = [o; copyobj(o(1), f.Children(1).Children(2))];
+        o = [o; copyobj(o(1), f.Children(1).Children(3))];
+        o = [o; copyobj(o(1), f.Children(1).Children(4))];
+    end
+
+    obj.scatterPoints = o;
+
+    % Plot collision geometry
+    [obj.collisionGeometry, f] = obj.collisionGeometry.plotWireframe(ind, f);
+
+    % Plot FOV geometry
+    [obj.fovGeometry, f] = obj.fovGeometry.plot(ind, f);
+end

@agent/run.m

@@ -0,0 +1,28 @@
+function obj = run(obj, sensingObjective, domain, partitioning)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'agent')};
+        sensingObjective (1, 1) {mustBeA(sensingObjective, 'sensingObjective')};
+        domain (1, 1) {mustBeGeometry};
+        partitioning (:, :) double;
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'agent')};
+    end
+
+    % Do sensing
+    [sensedValues, sensedPositions] = obj.sensorModel.sense(obj, sensingObjective, domain, partitioning);
+
+    % Determine next planned position
+    nextPos = obj.guidanceModel(sensedValues, sensedPositions, obj.pos);
+
+    % Move to next position
+    % (dynamics not modeled at this time)
+    obj.lastPos = obj.pos;
+    obj.pos = nextPos;
+
+    % Calculate movement
+    d = obj.pos - obj.collisionGeometry.center;
+
+    % Reinitialize collision geometry in the new position
+    obj.collisionGeometry = obj.collisionGeometry.initialize([obj.collisionGeometry.minCorner; obj.collisionGeometry.maxCorner] + d, obj.collisionGeometry.tag, obj.collisionGeometry.label);
+end

@agent/updatePlots.m

@@ -0,0 +1,35 @@
+function updatePlots(obj)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'agent')};
+    end
+    arguments (Output)
+    end
+
+    % Scatterplot point positions
+    for ii = 1:size(obj.scatterPoints, 1)
+        obj.scatterPoints(ii).XData = obj.pos(1);
+        obj.scatterPoints(ii).YData = obj.pos(2);
+        obj.scatterPoints(ii).ZData = obj.pos(3);
+    end
+
+    % Find change in agent position since last timestep
+    deltaPos = obj.pos - obj.lastPos;
+
+    % Collision geometry edges
+    for jj = 1:size(obj.collisionGeometry.lines, 2)
+        % Update plotting
+        for ii = 1:size(obj.collisionGeometry.lines(:, jj), 1)
+            obj.collisionGeometry.lines(ii, jj).XData = obj.collisionGeometry.lines(ii, jj).XData + deltaPos(1);
+            obj.collisionGeometry.lines(ii, jj).YData = obj.collisionGeometry.lines(ii, jj).YData + deltaPos(2);
+            obj.collisionGeometry.lines(ii, jj).ZData = obj.collisionGeometry.lines(ii, jj).ZData + deltaPos(3);
+        end
+    end
+
+    % Update FOV geometry surfaces
+    for jj = 1:size(obj.fovGeometry.surface, 2)
+        % Update each plot
+        obj.fovGeometry.surface(jj).XData = obj.fovGeometry.surface(jj).XData + deltaPos(1);
+        obj.fovGeometry.surface(jj).YData = obj.fovGeometry.surface(jj).YData + deltaPos(2);
+        obj.fovGeometry.surface(jj).ZData = obj.fovGeometry.surface(jj).ZData + deltaPos(3);
+    end
+end

@miSim/initialize.m

@@ -0,0 +1,42 @@
+function [obj, f] = initialize(obj, domain, objective, agents, timestep, partitoningFreq, maxIter, obstacles)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+        domain (1, 1) {mustBeGeometry};
+        objective (1, 1) {mustBeA(objective, 'sensingObjective')};
+        agents (:, 1) cell;
+        timestep (:, 1) double = 0.05;
+        partitoningFreq (:, 1) double = 0.25
+        maxIter (:, 1) double = 1000;
+        obstacles (:, 1) cell {mustBeGeometry} = cell(0, 1);
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
+    end
+
+    % Define simulation time parameters
+    obj.timestep = timestep;
+    obj.maxIter = maxIter;
+
+    % Define domain
+    obj.domain = domain;
+    obj.partitioningFreq = partitoningFreq;
+
+    % Add geometries representing obstacles within the domain
+    obj.obstacles = obstacles;
+
+    % Define objective
+    obj.objective = objective;
+
+    % Define agents
+    obj.agents = agents;
+
+    % Compute adjacency matrix
+    obj = obj.updateAdjacency();
+
+    % Create initial partitioning
+    obj = obj.partition();
+
+    % Set up plots showing initialized state
+    [obj, f] = obj.plot();
+end

@miSim/miSim.m

@@ -0,0 +1,45 @@
+classdef miSim
+    % multiagent interconnection simulation
+
+    % Simulation parameters
+    properties (SetAccess = private, GetAccess = public)
+        timestep = NaN; % delta time interval for simulation iterations
+        partitioningFreq = NaN; % number of simulation timesteps at which the partitioning routine is re-run
+        maxIter = NaN; % maximum number of simulation iterations
+        domain = rectangularPrism;
+        objective = sensingObjective;
+        obstacles = cell(0, 1); % geometries that define obstacles within the domain
+        agents = cell(0, 1); % agents that move within the domain
+        adjacency = NaN; % Adjacency matrix representing communications network graph
+        sensorPerformanceMinimum = 1e-6; % minimum sensor performance to allow assignment of a point in the domain to a partition
+        partitioning = NaN;
+    end
+
+    properties (Access = private)
+        % Plot objects
+        connectionsPlot; % objects for lines connecting agents in spatial plots
+        graphPlot; % objects for abstract network graph plot
+        partitionPlot; % objects for partition plot
+
+        % Indicies for various plot types in the main tiled layout figure
+        spatialPlotIndices = [6, 4, 3, 2];
+        objectivePlotIndices = [6, 4];
+        networkGraphIndex = 5;
+        partitionGraphIndex = 1;
+    end
+
+    methods (Access = public)
+        [obj, f] = initialize(obj, domain, objective, agents, timestep, partitoningFreq, maxIter, obstacles);
+        [obj, f] = run(obj, f);
+        [obj]    = partition(obj);
+        [obj]    = updateAdjacency(obj);
+        [obj, f] = plot(obj);
+        [obj, f] = plotConnections(obj, ind, f);
+        [obj, f] = plotPartitions(obj, ind, f);
+        [obj, f] = plotGraph(obj, ind, f);
+        [obj, f] = updatePlots(obj, f, updatePartitions);
+    end
+    methods (Access = private)
+        [v] = setupVideoWriter(obj);
+    end
+end

@miSim/partition.m

@@ -0,0 +1,27 @@
+function obj = partition(obj)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+    end
+
+    % Assess sensing performance of each agent at each sample point
+    % in the domain
+    agentPerformances = cellfun(@(x) reshape(x.sensorModel.sensorPerformance(x.pos, x.pan, x.tilt, [obj.objective.X(:), obj.objective.Y(:), zeros(size(obj.objective.X(:)))]), size(obj.objective.X)), obj.agents, 'UniformOutput', false);
+    agentPerformances{end + 1} = obj.sensorPerformanceMinimum * ones(size(agentPerformances{end})); % add additional layer to represent the threshold that has to be cleared for assignment to any partiton
+    agentPerformances = cat(3, agentPerformances{:});
+    
+    % Get highest performance value at each point
+    [~, idx] = max(agentPerformances, [], 3);
+
+    % Collect agent indices in the same way
+    agentInds = cellfun(@(x) x.index * ones(size(obj.objective.X)), obj.agents, 'UniformOutput', false);
+    agentInds{end + 1} = zeros(size(agentInds{end})); % index for no assignment
+    agentInds = cat(3, agentInds{:});
+
+    % Get highest performing agent's index
+    [m,n,~] = size(agentInds);
+    [i,j] = ndgrid(1:m, 1:n);
+    obj.partitioning = agentInds(sub2ind(size(agentInds), i, j, idx));
+end

@miSim/plot.m

@@ -0,0 +1,41 @@
+function [obj, f] = plot(obj)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
+    end
+
+    % Plot domain
+    [obj.domain, f] = obj.domain.plotWireframe(obj.spatialPlotIndices);
+
+    % Plot obstacles
+    for ii = 1:size(obj.obstacles, 1)
+        [obj.obstacles{ii}, f] = obj.obstacles{ii}.plotWireframe(obj.spatialPlotIndices, f);
+    end
+
+    % Plot objective gradient
+    f = obj.domain.objective.plot(obj.objectivePlotIndices, f);
+
+    % Plot agents and their collision geometries
+    for ii = 1:size(obj.agents, 1)
+        [obj.agents{ii}, f] = obj.agents{ii}.plot(obj.spatialPlotIndices, f);
+    end
+
+    % Plot communication links
+    [obj, f] = obj.plotConnections(obj.spatialPlotIndices, f);
+
+    % Plot abstract network graph
+    [obj, f] = obj.plotGraph(obj.networkGraphIndex, f);
+
+    % Plot domain partitioning
+    [obj, f] = obj.plotPartitions(obj.partitionGraphIndex, f);
+
+    % Enforce plot limits
+    for ii = 1:size(obj.spatialPlotIndices, 2)
+        xlim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(1), obj.domain.maxCorner(1)]);
+        ylim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(2), obj.domain.maxCorner(2)]);
+        zlim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(3), obj.domain.maxCorner(3)]);
+    end
+end

@miSim/plotConnections.m

@@ -0,0 +1,45 @@
+function [obj, f] = plotConnections(obj, ind, f)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+        ind (1, :) double = NaN;
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
+    end
+
+    % Iterate over lower triangle off-diagonal region of the 
+    % adjacency matrix to plot communications links between agents
+    X = []; Y = []; Z = [];
+    for ii = 2:size(obj.adjacency, 1)
+        for jj = 1:(ii - 1)
+            if obj.adjacency(ii, jj)
+                X = [X; obj.agents{ii}.pos(1), obj.agents{jj}.pos(1)];
+                Y = [Y; obj.agents{ii}.pos(2), obj.agents{jj}.pos(2)];
+                Z = [Z; obj.agents{ii}.pos(3), obj.agents{jj}.pos(3)];
+            end
+        end
+    end
+    X = X'; Y = Y'; Z = Z';
+
+    % Plot the connections
+    if isnan(ind)
+        hold(f.CurrentAxes, "on");
+        o = plot3(f.CurrentAxes, X, Y, Z, 'Color', 'g', 'LineWidth', 2, 'LineStyle', '--');
+        hold(f.CurrentAxes, "off");
+    else
+        hold(f.Children(1).Children(ind(1)), "on");
+        o = plot3(f.Children(1).Children(ind(1)), X, Y, Z, 'Color', 'g', 'LineWidth', 2, 'LineStyle', '--');
+        hold(f.Children(1).Children(ind(1)), "off");
+    end
+
+    % Copy to other plots
+    if size(ind, 2) > 1
+        for ii = 2:size(ind, 2)
+            o = [o, copyobj(o(:, 1), f.Children(1).Children(ind(ii)))];
+        end 
+    end
+
+    obj.connectionsPlot = o;
+end

@miSim/plotGraph.m

@@ -0,0 +1,31 @@
+function [obj, f] = plotGraph(obj, ind, f)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+        ind (1, :) double = NaN;
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
+    end
+
+    % Form graph from adjacency matrix
+    G = graph(obj.adjacency, 'omitselfloops');
+
+    % Plot graph object
+    if isnan(ind)
+        hold(f.CurrentAxes, 'on');
+        o = plot(f.CurrentAxes, G, 'LineStyle', '--', 'EdgeColor', 'g', 'NodeColor', 'k', 'LineWidth', 2);
+        hold(f.CurrentAxes, 'off');
+    else
+        hold(f.Children(1).Children(ind(1)), 'on');
+        o = plot(f.Children(1).Children(ind(1)), G, 'LineStyle', '--', 'EdgeColor', 'g', 'NodeColor', 'k', 'LineWidth', 2);
+        hold(f.Children(1).Children(ind(1)), 'off');
+        if size(ind, 2) > 1
+            for ii = 2:size(ind, 2)
+                o = [o; copyobj(o(1), f.Children(1).Children(ind(ii)))];
+            end
+        end
+    end
+    obj.graphPlot = o;
+end

@miSim/plotPartitions.m

@@ -0,0 +1,27 @@
+function [obj, f] = plotPartitions(obj, ind, f)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+        ind (1, :) double = NaN;
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
+    end
+
+    if isnan(ind)
+        hold(f.CurrentAxes, 'on');
+        o = imagesc(f.CurrentAxes, obj.partitioning);
+        hold(f.CurrentAxes, 'off');
+    else
+        hold(f.Children(1).Children(ind(1)), 'on');
+        o = imagesc(f.Children(1).Children(ind(1)), obj.partitioning);
+        hold(f.Children(1).Children(ind(1)), 'on');
+        if size(ind, 2) > 1
+            for ii = 2:size(ind, 2)
+                o = [o, copyobj(o(1), f.Children(1).Children(ind(ii)))];
+            end
+        end
+    end
+    obj.partitionPlot = o;
+end

@miSim/run.m

@@ -0,0 +1,52 @@
+function [obj, f] = run(obj, f)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
+    end
+
+    % Create axes if they don't already exist
+    f = firstPlotSetup(f);
+
+    % Set up times to iterate over
+    times = linspace(0, obj.timestep * obj.maxIter, obj.maxIter+1)';
+    partitioningTimes = times(obj.partitioningFreq:obj.partitioningFreq:size(times, 1));
+
+    % Start video writer
+    v = obj.setupVideoWriter();
+    v.open();
+
+    for ii = 1:size(times, 1)
+        % Display current sim time
+        t = times(ii);
+        fprintf("Sim Time: %4.2f (%d/%d)\n", t, ii, obj.maxIter)
+
+        % Check if it's time for new partitions
+        updatePartitions = false;
+        if ismember(t, partitioningTimes)
+            updatePartitions = true;
+            obj = obj.partition();
+        end
+
+        % Iterate over agents to simulate their motion
+        for jj = 1:size(obj.agents, 1)
+            obj.agents{jj} = obj.agents{jj}.run(obj.objective, obj.domain, obj.partitioning);
+        end
+
+        % Update adjacency matrix
+        obj = obj.updateAdjacency;
+
+        % Update plots
+        [obj, f] = obj.updatePlots(f, updatePartitions);
+
+        % Write frame in to video
+        I = getframe(f);
+        v.writeVideo(I);
+    end
+
+    % Close video file
+    v.close();
+end

@miSim/setupVideoWriter.m

@@ -1,6 +1,6 @@
-function v = setupVideoWriter(timestep)
+function v = setupVideoWriter(obj)
     arguments (Input)
-        timestep (1, 1) double;
+        obj (1, 1) {mustBeA(obj, 'miSim')};
     end
     arguments (Output)
         v (1, 1) {mustBeA(v, 'VideoWriter')};
@@ -12,6 +12,6 @@ function v = setupVideoWriter(timestep)
         v = VideoWriter(fullfile('sandbox', strcat(string(datetime('now'), 'yyyy_MM_dd_HH_mm_ss'), '_miSimHist')), 'Motion JPEG AVI');
     end
     
-    v.FrameRate = 1/timestep;
+    v.FrameRate = 1 / obj.timestep;
     v.Quality = 90;
 end

@miSim/updateAdjacency.m

@@ -0,0 +1,32 @@
+function obj = updateAdjacency(obj)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+    end
+
+    % Initialize assuming only self-connections
+    A = logical(eye(size(obj.agents, 1)));
+
+    % Check lower triangle off-diagonal connections
+    for ii = 2:size(A, 1)
+        for jj = 1:(ii - 1)
+            if norm(obj.agents{ii}.pos - obj.agents{jj}.pos) <= min([obj.agents{ii}.comRange, obj.agents{jj}.comRange])
+                % Make sure that obstacles don't obstruct the line
+                % of sight, breaking the connection
+                for kk = 1:size(obj.obstacles, 1)
+                    if ~obj.obstacles{kk}.containsLine(obj.agents{ii}.pos, obj.agents{jj}.pos)
+                        A(ii, jj) = true;
+                    end
+                end
+                % need extra handling for cases with no obstacles
+                if isempty(obj.obstacles)
+                    A(ii, jj) = true;
+                end
+            end
+        end
+    end
+
+    obj.adjacency = A | A';
+end

@miSim/updatePlots.m

@@ -0,0 +1,43 @@
+function [obj, f] = updatePlots(obj, f, updatePartitions)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
+        updatePartitions (1, 1) logical = false;
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'miSim')};
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
+    end
+
+    % Update agent positions, collision geometries
+    for ii = 1:size(obj.agents, 1)
+        obj.agents{ii}.updatePlots();
+    end
+
+    % The remaining updates might be possible to do in a clever way
+    % that moves existing lines instead of clearing and 
+    % re-plotting, which is much better for performance boost
+
+    % Update agent connections plot
+    delete(obj.connectionsPlot);
+    [obj, f] = obj.plotConnections(obj.spatialPlotIndices, f);
+
+    % Update network graph plot
+    delete(obj.graphPlot);
+    [obj, f] = obj.plotGraph(obj.networkGraphIndex, f);
+
+    % Update partitioning plot
+    if updatePartitions
+        delete(obj.partitionPlot);
+        [obj, f] = obj.plotPartitions(obj.partitionGraphIndex, f);
+    end
+
+    % reset plot limits to fit domain
+    for ii = 1:size(obj.spatialPlotIndices, 2)
+        xlim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(1), obj.domain.maxCorner(1)]);
+        ylim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(2), obj.domain.maxCorner(2)]);
+        zlim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(3), obj.domain.maxCorner(3)]);
+    end
+
+    drawnow;
+end

@sensingObjective/initialize.m

@@ -0,0 +1,37 @@
+function obj = initialize(obj, objectiveFunction, domain, discretizationStep, protectedRange)
+    arguments (Input)
+        obj (1,1) {mustBeA(obj, 'sensingObjective')};
+        objectiveFunction (1, 1) {mustBeA(objectiveFunction, 'function_handle')};
+        domain (1, 1) {mustBeGeometry};
+        discretizationStep (1, 1) double = 1;
+        protectedRange (1, 1) double = 1;
+    end
+    arguments (Output)
+        obj (1,1) {mustBeA(obj, 'sensingObjective')};
+    end
+
+    obj.groundAlt = domain.minCorner(3);
+    obj.protectedRange = protectedRange;
+
+    % Extract footprint limits
+    xMin = min(domain.footprint(:, 1));
+    xMax = max(domain.footprint(:, 1));
+    yMin = min(domain.footprint(:, 2));
+    yMax = max(domain.footprint(:, 2));
+
+    xGrid = unique([xMin:discretizationStep:xMax, xMax]);
+    yGrid = unique([yMin:discretizationStep:yMax, yMax]);
+    
+    % Store grid points for plotting later
+    [obj.X, obj.Y] = meshgrid(xGrid, yGrid);
+
+    % Evaluate function over grid points
+    obj.objectiveFunction = objectiveFunction;
+    obj.values = reshape(obj.objectiveFunction(obj.X, obj.Y), size(obj.X));
+
+    % store ground position
+    idx = obj.values == max(obj.values, [], "all");
+    obj.groundPos = [obj.X(idx), obj.Y(idx)];
+
+    assert(domain.distance([obj.groundPos, domain.center(3)]) > protectedRange, "Domain is crowding the sensing objective")
+end

@sensingObjective/initializeRandomMvnpdf.m

@@ -0,0 +1,27 @@
+function obj = initializeRandomMvnpdf(obj, domain, discretizationStep, protectedRange)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'sensingObjective')};
+        domain (1, 1) {mustBeGeometry};
+        discretizationStep (1, 1) double = 1;
+        protectedRange (1, 1) double = 1;
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'sensingObjective')};
+    end
+
+    % Set random objective position
+    mu = domain.minCorner;
+    while domain.distance(mu) < protectedRange
+        mu = domain.random();
+    end
+    mu = mu(1:2);
+
+    % Set random distribution parameters
+    sig = [2 + rand * 2, 1; 1, 2 + rand * 2];
+
+    % Set up random bivariate normal distribution function
+    objectiveFunction = @(x, y) mvnpdf([x(:), y(:)], mu, sig);
+
+    % Regular initialization
+    obj = obj.initialize(objectiveFunction, domain, discretizationStep, protectedRange);
+end

@sensingObjective/plot.m

@@ -0,0 +1,35 @@
+function f = plot(obj, ind, f)
+    arguments (Input)
+        obj (1,1) {mustBeA(obj, 'sensingObjective')};
+        ind (1, :) double = NaN;
+        f (1,1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
+    end
+    arguments (Output)
+        f (1,1) {mustBeA(f, 'matlab.ui.Figure')};
+    end
+
+    % Create axes if they don't already exist
+    f = firstPlotSetup(f);
+
+    % Plot gradient on the "floor" of the domain
+    if isnan(ind)
+        hold(f.CurrentAxes, "on");
+        o = surf(f.CurrentAxes, obj.X, obj.Y, repmat(obj.groundAlt, size(obj.X)), obj.values ./ max(obj.values, [], "all"), 'EdgeColor', 'none');
+        o.HitTest = 'off';
+        o.PickableParts = 'none';
+        hold(f.CurrentAxes, "off");
+    else
+        hold(f.Children(1).Children(ind(1)), "on");
+        o = surf(f.Children(1).Children(ind(1)), obj.X, obj.Y, repmat(obj.groundAlt, size(obj.X)), obj.values ./ max(obj.values, [], "all"), 'EdgeColor', 'none');
+        o.HitTest = 'off';
+        o.PickableParts = 'none';
+        hold(f.Children(1).Children(ind(1)), "off");
+    end
+
+    % Add to other perspectives
+    if size(ind, 2) > 1
+        for ii = 2:size(ind, 2)
+            copyobj(o, f.Children(1).Children(ind(ii)));
+        end
+    end
+end

@sensingObjective/sensingObjective.m

@@ -0,0 +1,20 @@
+classdef sensingObjective
+    % Sensing objective definition parent class
+    properties (SetAccess = private, GetAccess = public)
+        label = "";
+        groundAlt = 0;
+        groundPos = [0, 0];
+        discretizationStep = 1;
+        objectiveFunction = @(x, y) 0; % define objective functions over a grid in this manner
+        X = [];
+        Y = [];
+        values = [];
+        protectedRange = 1; % keep obstacles from crowding objective
+    end
+
+    methods (Access = public)
+        [obj] = initialize(obj, objectiveFunction, domain, discretizationStep, protectedRange);
+        [obj] = initializeRandomMvnpdf(obj, domain, protectedRange, discretizationStep, protectedRange);
+        [f  ] = plot(obj, ind, f);
+    end
+end

agent.m

@@ -1,167 +0,0 @@
-classdef agent
-    properties (SetAccess = private, GetAccess = public)
-        % Identifiers
-        index = NaN;
-        label = "";
-
-        % Sensor
-        sensorModel;
-        sensingLength = 0.05; % length parameter used by sensing function
-
-        % Guidance
-        guidanceModel;
-
-        % State
-        lastPos = NaN(1, 3); % position from previous timestep
-        pos = NaN(1, 3); % current position
-        vel = NaN(1, 3); % current velocity
-        pan = NaN; % pan angle
-        tilt = NaN; % tilt angle
-
-        % Collision
-        collisionGeometry;
-
-        % FOV cone
-        fovGeometry;
-
-        % Communication
-        comRange = NaN;
-
-        % Plotting
-        scatterPoints;
-    end
-
-    methods (Access = public)
-        function obj = initialize(obj, pos, vel, pan, tilt, collisionGeometry, sensorModel, guidanceModel, comRange, index, label)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'agent')};
-                pos (1, 3) double;
-                vel (1, 3) double;
-                pan (1, 1) double;
-                tilt (1, 1) double;
-                collisionGeometry (1, 1) {mustBeGeometry};
-                sensorModel (1, 1) {mustBeSensor}
-                guidanceModel (1, 1) {mustBeA(guidanceModel, 'function_handle')};
-                comRange (1, 1) double = NaN;
-                index (1, 1) double = NaN;
-                label (1, 1) string = "";
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'agent')};
-            end
-
-            obj.pos = pos;
-            obj.vel = vel;
-            obj.pan = pan;
-            obj.tilt = tilt;
-            obj.collisionGeometry = collisionGeometry;
-            obj.sensorModel = sensorModel;
-            obj.guidanceModel = guidanceModel;
-            obj.comRange = comRange;
-            obj.index = index;
-            obj.label = label;
-
-            % Initialize FOV cone
-            obj.fovGeometry = cone;
-            obj.fovGeometry = obj.fovGeometry.initialize([obj.pos(1:2), 0], obj.sensorModel.r, obj.pos(3), REGION_TYPE.FOV, sprintf("%s FOV", obj.label));
-        end
-        function obj = run(obj, sensingObjective, domain, partitioning)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'agent')};
-                sensingObjective (1, 1) {mustBeA(sensingObjective, 'sensingObjective')};
-                domain (1, 1) {mustBeGeometry};
-                partitioning (:, :) double;
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'agent')};
-            end
-
-            % Do sensing
-            [sensedValues, sensedPositions] = obj.sensorModel.sense(obj, sensingObjective, domain, partitioning);
-
-            % Determine next planned position
-            nextPos = obj.guidanceModel(sensedValues, sensedPositions, obj.pos);
-
-            % Move to next position
-            % (dynamics not modeled at this time)
-            obj.lastPos = obj.pos;
-            obj.pos = nextPos;
-
-            % Calculate movement
-            d = obj.pos - obj.collisionGeometry.center;
-
-            % Reinitialize collision geometry in the new position
-            obj.collisionGeometry = obj.collisionGeometry.initialize([obj.collisionGeometry.minCorner; obj.collisionGeometry.maxCorner] + d, obj.collisionGeometry.tag, obj.collisionGeometry.label);
-        end
-        function updatePlots(obj)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'agent')};
-            end
-            arguments (Output)
-            end
-
-            % Scatterplot point positions
-            for ii = 1:size(obj.scatterPoints, 1)
-                obj.scatterPoints(ii).XData = obj.pos(1);
-                obj.scatterPoints(ii).YData = obj.pos(2);
-                obj.scatterPoints(ii).ZData = obj.pos(3);
-            end
-
-            % Find change in agent position since last timestep
-            deltaPos = obj.pos - obj.lastPos;
-
-            % Collision geometry edges
-            for jj = 1:size(obj.collisionGeometry.lines, 2)
-                % Update plotting
-                for ii = 1:size(obj.collisionGeometry.lines(:, jj), 1)
-                    obj.collisionGeometry.lines(ii, jj).XData = obj.collisionGeometry.lines(ii, jj).XData + deltaPos(1);
-                    obj.collisionGeometry.lines(ii, jj).YData = obj.collisionGeometry.lines(ii, jj).YData + deltaPos(2);
-                    obj.collisionGeometry.lines(ii, jj).ZData = obj.collisionGeometry.lines(ii, jj).ZData + deltaPos(3);
-                end
-            end
-
-            % Update FOV geometry surfaces
-            for jj = 1:size(obj.fovGeometry.surface, 2)
-                % Update each plot
-                obj.fovGeometry.surface(jj).XData = obj.fovGeometry.surface(jj).XData + deltaPos(1);
-                obj.fovGeometry.surface(jj).YData = obj.fovGeometry.surface(jj).YData + deltaPos(2);
-                obj.fovGeometry.surface(jj).ZData = obj.fovGeometry.surface(jj).ZData + deltaPos(3);
-            end
-        end
-        function [obj, f] = plot(obj, ind, f)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'agent')};
-                ind (1, :) double = NaN;
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'agent')};
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
-            end
-
-            % Create axes if they don't already exist
-            f = firstPlotSetup(f);
-
-            % Plot points representing the agent position
-            hold(f.Children(1).Children(end), "on");
-            o = scatter3(f.Children(1).Children(end), obj.pos(1), obj.pos(2), obj.pos(3), 'filled', 'ko', 'SizeData', 25);
-            hold(f.Children(1).Children(end), "off");
-
-            % Check if this is a tiled layout figure
-            if strcmp(f.Children(1).Type, 'tiledlayout')
-                % Add to other perspectives
-                o = [o; copyobj(o(1), f.Children(1).Children(2))];
-                o = [o; copyobj(o(1), f.Children(1).Children(3))];
-                o = [o; copyobj(o(1), f.Children(1).Children(4))];
-            end
-
-            obj.scatterPoints = o;
-
-            % Plot collision geometry
-            [obj.collisionGeometry, f] = obj.collisionGeometry.plotWireframe(ind, f);
-
-            % Plot FOV geometry
-            [obj.fovGeometry, f] = obj.fovGeometry.plot(ind, f);
-        end
-    end
-end

geometries/@cone/cone.m

@@ -0,0 +1,22 @@
+classdef cone
+    % Conical geometry
+    properties (SetAccess = private, GetAccess = public)
+        % Meta
+        tag = REGION_TYPE.INVALID;
+        label = "";
+
+        % Spatial
+        center = NaN;
+        radius = NaN;
+        height = NaN;
+
+        % Plotting
+        surface;
+        n = 32;
+    end
+
+    methods (Access = public)
+        [obj   ] = initialize(obj, center, radius, height, tag, label);
+        [obj, f] = plot(obj, ind, f);
+    end
+end

geometries/@cone/initialize.m

@@ -0,0 +1,19 @@
+function obj = initialize(obj, center, radius, height, tag, label)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'cone')};
+        center (1, 3) double;
+        radius (1, 1) double;
+        height (1, 1) double;
+        tag (1, 1) REGION_TYPE = REGION_TYPE.INVALID;
+        label (1, 1) string = "";
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'cone')};
+    end
+
+    obj.center = center;
+    obj.radius = radius;
+    obj.height = height;
+    obj.tag = tag;
+    obj.label = label;
+end

geometries/@cone/plot.m

@@ -0,0 +1,43 @@
+function [obj, f] = plot(obj, ind, f)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'cone')};
+        ind (1, :) double = NaN;
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'cone')};
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
+    end
+    
+    % Create axes if they don't already exist
+    f = firstPlotSetup(f);
+    
+    % Plot cone
+    [X, Y, Z] = cylinder([obj.radius, 0], obj.n);
+    
+    % Scale to match height
+    Z = Z * obj.height;
+    
+    % Move to center location
+    X = X + obj.center(1);
+    Y = Y + obj.center(2);
+    Z = Z + obj.center(3);
+    
+    % Plot
+    if isnan(ind)
+        o = surf(f.CurrentAxes, X, Y, Z);
+    else
+        hold(f.Children(1).Children(ind(1)), "on");
+        o = surf(f.Children(1).Children(ind(1)), X, Y, Z, ones([size(Z), 1]) .* reshape(obj.tag.color, 1, 1, 3), 'FaceAlpha', 0.25, 'EdgeColor', 'none');
+        hold(f.Children(1).Children(ind(1)), "off");
+    end
+    
+    % Copy to other requested tiles
+    if numel(ind) > 1
+        for ii = 2:size(ind, 2)
+            o = [o, copyobj(o(:, 1), f.Children(1).Children(ind(ii)))];
+        end
+    end
+    
+    obj.surface = o;
+end

geometries/@rectangularPrism/contains.m

@@ -0,0 +1,10 @@
+function c = contains(obj, pos)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
+        pos (:, 3) double;
+    end
+    arguments (Output)
+        c (:, 1) logical
+    end
+    c = all(pos >= repmat(obj.minCorner, size(pos, 1), 1), 2) & all(pos <= repmat(obj.maxCorner, size(pos, 1), 1), 2);
+end

geometries/@rectangularPrism/containsLine.m

@@ -0,0 +1,41 @@
+function c = containsLine(obj, pos1, pos2)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
+        pos1 (1, 3) double;
+        pos2 (1, 3) double;
+    end
+    arguments (Output)
+        c (1, 1) logical
+    end
+    
+    d = pos2 - pos1;
+    
+    % edge case where the line is parallel to the geometry
+    if abs(d) < 1e-12
+        % check if it happens to start or end inside or outside of
+        % the geometry
+        if obj.contains(pos1) || obj.contains(pos2)
+            c = true;
+        else
+            c = false;
+        end
+        return;
+    end
+    
+    tmin = -inf;        
+    tmax = inf;
+    
+    % Standard case
+    for ii = 1:3
+        t1 = (obj.minCorner(ii) - pos1(ii)) / d(ii);
+        t2 = (obj.maxCorner(ii) - pos2(ii)) / d(ii);
+        tmin = max(tmin, min(t1, t2));
+        tmax = min(tmax, max(t1, t2));
+        if tmin > tmax
+            c = false;
+            return;
+        end
+    end
+    
+    c = (tmax >= 0) && (tmin <= 1);
+    end

geometries/@rectangularPrism/distance.m

@@ -0,0 +1,32 @@
+function d = distance(obj, pos)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
+        pos (:, 3) double;
+    end
+    arguments (Output)
+        d (:, 1) double
+    end
+    if obj.contains(pos)
+        % Queried point is inside geometry
+        % find minimum distance to any face
+        d = min([pos(1) - obj.minCorner(1), ...
+                 pos(2) - obj.minCorner(2), ...
+                 pos(3) - obj.minCorner(3), ...
+                 obj.maxCorner(1) - pos(1), ...
+                 obj.maxCorner(2) - pos(2), ...
+                 obj.maxCorner(3) - pos(3)]);
+    else
+        % Queried point is outside geometry
+        cPos = NaN(1, 3);
+        for ii = 1:3
+            if pos(ii) < obj.minCorner(ii)
+                cPos(ii) = obj.minCorner(ii);
+            elseif pos(ii) > obj.maxCorner(ii)
+                cPos(ii) = obj.maxCorner(ii);
+            else
+                cPos(ii) = pos(ii);
+            end
+        end
+        d = norm(cPos - pos);
+    end
+end

geometries/@rectangularPrism/initialize.m

@@ -0,0 +1,47 @@
+function obj = initialize(obj, bounds, tag, label, objectiveFunction, discretizationStep)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
+        bounds (2, 3) double;
+        tag (1, 1) REGION_TYPE = REGION_TYPE.INVALID;
+        label (1, 1) string = "";
+        objectiveFunction (1, 1) function_handle = @(x, y) 1;
+        discretizationStep (1, 1) double = 1;
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
+    end
+
+    obj.tag = tag;
+    obj.label = label;
+
+    % Define geometry bounds by LL corner and UR corner
+    obj.minCorner = bounds(1, 1:3);
+    obj.maxCorner = bounds(2, 1:3);
+
+    % Compute L, W, H
+    obj.dimensions = [obj.maxCorner(1) - obj.minCorner(1), obj.maxCorner(2) - obj.minCorner(2), obj.maxCorner(3) - obj.minCorner(3)];
+
+    % Compute center
+    obj.center = obj.minCorner + obj.dimensions ./ 2;
+
+    % Compute vertices
+    obj.vertices = [obj.minCorner;
+                    obj.maxCorner(1), obj.minCorner(2:3);
+                    obj.maxCorner(1:2), obj.minCorner(3);
+                    obj.minCorner(1), obj.maxCorner(2), obj.minCorner(3);
+                    obj.minCorner(1:2), obj.maxCorner(3);
+                    obj.maxCorner(1), obj.minCorner(2), obj.maxCorner(3);
+                    obj.minCorner(1), obj.maxCorner(2:3)
+                    obj.maxCorner;];
+
+    % Compute footprint
+    obj.footprint = [obj.minCorner(1:2); ...
+                     [obj.minCorner(1), obj.maxCorner(2)]; ...
+                     [obj.maxCorner(1), obj.minCorner(2)]; ...
+                     obj.maxCorner(1:2)];
+
+    % Instantiate sensingObjective only for DOMAIN-type regions
+    if tag == REGION_TYPE.DOMAIN
+        obj.objective = sensingObjective;
+    end
+end

geometries/@rectangularPrism/initializeRandom.m

@@ -0,0 +1,44 @@
+function [obj] = initializeRandom(obj, tag, label, minDimension, maxDimension, domain)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
+        tag (1, 1) REGION_TYPE = REGION_TYPE.INVALID;
+        label (1, 1) string = "";
+        minDimension (1, 1) double = 10;
+        maxDimension (1, 1) double= 20;
+        domain (1, 1) {mustBeGeometry} = rectangularPrism;
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
+    end
+    
+    % Produce random bounds based on region type
+    if tag == REGION_TYPE.DOMAIN
+        % Domain
+        L = ceil(minDimension + rand * (maxDimension - minDimension));
+        bounds = [zeros(1, 3); L * ones(1, 3)];
+    else
+        % Obstacle
+
+        % Produce a corners that are contained in the domain
+        ii = 0;
+        candidateMaxCorner = domain.maxCorner + ones(1, 3);
+        candidateMinCorner = domain.minCorner - ones(1, 3);
+        % Continue until the domain contains the obstacle without crowding the objective
+        while ~domain.contains(candidateMaxCorner) || all(domain.objective.groundPos + domain.objective.protectedRange >= candidateMinCorner(1:2), 2) && all(domain.objective.groundPos - domain.objective.protectedRange <= candidateMaxCorner(1:2), 2)
+            if ii == 0 || ii > 10
+                candidateMinCorner = domain.random();
+                candidateMinCorner(3) = 0; % bind to floor
+                ii = 1;
+            end
+
+            candidateMaxCorner = candidateMinCorner + minDimension + rand(1, 3) * (maxDimension - minDimension);
+
+            ii = ii + 1;
+        end
+        
+        bounds = [candidateMinCorner; candidateMaxCorner;];
+    end
+
+    % Regular initialization
+    obj = obj.initialize(bounds, tag, label);
+end

geometries/@rectangularPrism/plotWireframe.m

@@ -0,0 +1,37 @@
+function [obj, f] = plotWireframe(obj, ind, f)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
+        ind (1, :) double = NaN;
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
+    end
+    arguments (Output)
+        obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
+        f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
+    end
+
+    % Create axes if they don't already exist
+    f = firstPlotSetup(f);
+
+    % Create plotting inputs from vertices and edges
+    X = [obj.vertices(obj.edges(:,1),1), obj.vertices(obj.edges(:,2),1)]';
+    Y = [obj.vertices(obj.edges(:,1),2), obj.vertices(obj.edges(:,2),2)]';
+    Z = [obj.vertices(obj.edges(:,1),3), obj.vertices(obj.edges(:,2),3)]';
+
+    % Plot the boundaries of the geometry into 3D view
+    if isnan(ind)
+        o = plot3(f.CurrentAxes, X, Y, Z, '-', 'Color', obj.tag.color, 'LineWidth', 2);
+    else
+        hold(f.Children(1).Children(ind(1)), "on");
+        o = plot3(f.Children(1).Children(ind(1)), X, Y, Z, '-', 'Color', obj.tag.color, 'LineWidth', 2);
+        hold(f.Children(1).Children(ind(1)), "off");
+    end
+
+    % Copy to other requested tiles
+    if numel(ind) > 1
+        for ii = 2:size(ind, 2)
+            o = [o, copyobj(o(:, 1), f.Children(1).Children(ind(ii)))];
+        end
+    end
+
+    obj.lines = o;
+end

geometries/@rectangularPrism/random.m

@@ -0,0 +1,9 @@
+function r = random(obj)
+    arguments (Input)
+        obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
+    end
+    arguments (Output)
+        r (1, 3) double
+    end
+    r = (obj.vertices(1, 1:3) + rand(1, 3) .* obj.vertices(8, 1:3) - obj.vertices(1, 1:3))';
+end

geometries/@rectangularPrism/rectangularPrism.m

@@ -0,0 +1,38 @@
+classdef rectangularPrism
+    % Rectangular prism geometry
+    properties (SetAccess = private, GetAccess = public)
+        % Meta
+        tag = REGION_TYPE.INVALID;
+        label = "";
+
+        % Spatial
+        minCorner = NaN(1, 3);
+        maxCorner = NaN(1, 3);
+        dimensions = NaN(1, 3);
+        center = NaN;
+        footprint = NaN(4, 2);
+
+        % Graph
+        vertices = NaN(8, 3);
+        edges = [1 2; 2 3; 3 4; 4 1;  % bottom square
+            5 6; 6 8; 8 7; 7 5;  % top square
+            1 5; 2 6; 3 8; 4 7]; % vertical edges
+
+        % Plotting
+        lines;
+    end
+    properties (SetAccess = public, GetAccess = public)
+        % Sensing objective (for DOMAIN region type only)
+        objective;
+    end
+
+    methods (Access = public)
+        [obj   ] = initialize(obj, bounds, tag, label, objectiveFunction, discretizationStep);
+        [obj   ] = initializeRandom(obj, tag, label, minDimension, maxDimension, domain);
+        [r     ] = random(obj);
+        [c     ] = contains(obj, pos);
+        [d     ] = distance(obj, pos);
+        [c     ] = containsLine(obj, pos1, pos2);
+        [obj, f] = plotWireframe(obj, ind, f);
+    end
+end

geometries/cone.m

@@ -1,82 +0,0 @@
-classdef cone
-    % Conical geometry
-    properties (SetAccess = private, GetAccess = public)
-        % Meta
-        tag = REGION_TYPE.INVALID;
-        label = "";
-
-        % Spatial
-        center = NaN;
-        radius = NaN;
-        height = NaN;
-
-        % Plotting
-        surface;
-        n = 32;
-    end
-
-    methods
-        function obj = initialize(obj, center, radius, height, tag, label)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'cone')};
-                center (1, 3) double;
-                radius (1, 1) double;
-                height (1, 1) double;
-                tag (1, 1) REGION_TYPE = REGION_TYPE.INVALID;
-                label (1, 1) string = "";
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'cone')};
-            end
-
-            obj.center = center;
-            obj.radius = radius;
-            obj.height = height;
-            obj.tag = tag;
-            obj.label = label;
-        end
-        function [obj, f] = plot(obj, ind, f)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'cone')};
-                ind (1, :) double = NaN;
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'cone')};
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
-            end
-
-            % Create axes if they don't already exist
-            f = firstPlotSetup(f);
-
-            % Plot cone
-            [X, Y, Z] = cylinder([obj.radius, 0], obj.n);
-            
-            % Scale to match height
-            Z = Z * obj.height;
-
-            % Move to center location
-            X = X + obj.center(1);
-            Y = Y + obj.center(2);
-            Z = Z + obj.center(3);
-
-            % Plot
-            if isnan(ind)
-                o = surf(f.CurrentAxes, X, Y, Z);
-            else
-                hold(f.Children(1).Children(ind(1)), "on");
-                o = surf(f.Children(1).Children(ind(1)), X, Y, Z, ones([size(Z), 1]) .* reshape(obj.tag.color, 1, 1, 3), 'FaceAlpha', 0.25, 'EdgeColor', 'none');
-                hold(f.Children(1).Children(ind(1)), "off");
-            end
-
-            % Copy to other requested tiles
-            if numel(ind) > 1
-                for ii = 2:size(ind, 2)
-                    o = [o, copyobj(o(:, 1), f.Children(1).Children(ind(ii)))];
-                end
-            end
-
-            obj.surface = o;
-        end
-    end
-end

geometries/rectangularPrism.m

@@ -1,204 +0,0 @@
-classdef rectangularPrism
-    % Rectangular prism geometry
-    properties (SetAccess = private, GetAccess = public)
-        % Meta
-        tag = REGION_TYPE.INVALID;
-        label = "";
-
-        % Spatial
-        minCorner = NaN(1, 3);
-        maxCorner = NaN(1, 3);
-        dimensions = NaN(1, 3);
-        center = NaN;
-        footprint = NaN(4, 2);
-
-        % Graph
-        vertices = NaN(8, 3);
-        edges = [1 2; 2 3; 3 4; 4 1;  % bottom square
-            5 6; 6 8; 8 7; 7 5;  % top square
-            1 5; 2 6; 3 8; 4 7]; % vertical edges
-
-        % Plotting
-        lines;
-    end
-
-    methods (Access = public)
-        function obj = initialize(obj, bounds, tag, label)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
-                bounds (2, 3) double;
-                tag (1, 1) REGION_TYPE = REGION_TYPE.INVALID;
-                label (1, 1) string = "";
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
-            end
-
-            obj.tag = tag;
-            obj.label = label;
-
-            %% Define geometry bounds by LL corner and UR corner
-            obj.minCorner = bounds(1, 1:3);
-            obj.maxCorner = bounds(2, 1:3);
-
-            % Compute L, W, H
-            obj.dimensions = [obj.maxCorner(1) - obj.minCorner(1), obj.maxCorner(2) - obj.minCorner(2), obj.maxCorner(3) - obj.minCorner(3)];
-
-            % Compute center
-            obj.center = obj.minCorner + obj.dimensions ./ 2;
-
-            % Compute vertices
-            obj.vertices = [obj.minCorner;
-                            obj.maxCorner(1), obj.minCorner(2:3);
-                            obj.maxCorner(1:2), obj.minCorner(3);
-                            obj.minCorner(1), obj.maxCorner(2), obj.minCorner(3);
-                            obj.minCorner(1:2), obj.maxCorner(3);
-                            obj.maxCorner(1), obj.minCorner(2), obj.maxCorner(3);
-                            obj.minCorner(1), obj.maxCorner(2:3)
-                            obj.maxCorner;];
-
-            % Compute footprint
-            obj.footprint = [obj.minCorner(1:2); ...
-                             [obj.minCorner(1), obj.maxCorner(2)]; ...
-                             [obj.maxCorner(1), obj.minCorner(2)]; ...
-                             obj.maxCorner(1:2)];
-        end
-        function r = random(obj)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
-            end
-            arguments (Output)
-                r (1, 3) double
-            end
-            r = (obj.vertices(1, 1:3) + rand(1, 3) .* obj.vertices(8, 1:3) - obj.vertices(1, 1:3))';
-        end
-        function d = distance(obj, pos)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
-                pos (:, 3) double;
-            end
-            arguments (Output)
-                d (:, 1) double
-            end
-            assert(~obj.contains(pos), "Cannot determine distance for a point inside of the geometry");
-            
-            cPos = NaN(1, 3);
-            for ii = 1:3
-                if pos(ii) < obj.minCorner(ii)
-                    cPos(ii) = obj.minCorner(ii);
-                elseif pos(ii) > obj.maxCorner(ii)
-                    cPos(ii) = obj.maxCorner(ii);
-                else
-                    cPos(ii) = pos(ii);
-                end
-            end
-            d = norm(cPos - pos);
-        end
-        function d = interiorDistance(obj, pos)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
-                pos (:, 3) double;
-            end
-            arguments (Output)
-                d (:, 1) double
-            end
-            assert(obj.contains(pos), "Cannot determine interior distance for a point outside of the geometry");
-
-            % find minimum distance to any face
-            d = min([pos(1) - obj.minCorner(1), ...
-                     pos(2) - obj.minCorner(2), ...
-                     pos(3) - obj.minCorner(3), ...
-                     obj.maxCorner(1) - pos(1), ...
-                     obj.maxCorner(2) - pos(2), ...
-                     obj.maxCorner(3) - pos(3)]);
-        end
-        function c = contains(obj, pos)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
-                pos (:, 3) double;
-            end
-            arguments (Output)
-                c (:, 1) logical
-            end
-            c = all(pos >= repmat(obj.minCorner, size(pos, 1), 1), 2) & all(pos <= repmat(obj.maxCorner, size(pos, 1), 1), 2);
-        end
-        function c = containsLine(obj, pos1, pos2)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
-                pos1 (1, 3) double;
-                pos2 (1, 3) double;
-            end
-            arguments (Output)
-                c (1, 1) logical
-            end
-            
-            d = pos2 - pos1;
-
-            % edge case where the line is parallel to the geometry
-            if abs(d) < 1e-12
-                % check if it happens to start or end inside or outside of
-                % the geometry
-                if obj.contains(pos1) || obj.contains(pos2)
-                    c = true;
-                else
-                    c = false;
-                end
-                return;
-            end
-
-            tmin = -inf;        
-            tmax = inf;
-
-            % Standard case
-            for ii = 1:3
-                t1 = (obj.minCorner(ii) - pos1(ii)) / d(ii);
-                t2 = (obj.maxCorner(ii) - pos2(ii)) / d(ii);
-                tmin = max(tmin, min(t1, t2));
-                tmax = min(tmax, max(t1, t2));
-                if tmin > tmax
-                    c = false;
-                    return;
-                end
-            end
-
-            c = (tmax >= 0) && (tmin <= 1);
-        end
-        function [obj, f] = plotWireframe(obj, ind, f)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
-                ind (1, :) double = NaN;
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'rectangularPrism')};
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
-            end
-
-            % Create axes if they don't already exist
-            f = firstPlotSetup(f);
-
-            % Create plotting inputs from vertices and edges
-            X = [obj.vertices(obj.edges(:,1),1), obj.vertices(obj.edges(:,2),1)]';
-            Y = [obj.vertices(obj.edges(:,1),2), obj.vertices(obj.edges(:,2),2)]';
-            Z = [obj.vertices(obj.edges(:,1),3), obj.vertices(obj.edges(:,2),3)]';
-
-            % Plot the boundaries of the geometry into 3D view
-            if isnan(ind)
-                o = plot3(f.CurrentAxes, X, Y, Z, '-', 'Color', obj.tag.color, 'LineWidth', 2);
-            else
-                hold(f.Children(1).Children(ind(1)), "on");
-                o = plot3(f.Children(1).Children(ind(1)), X, Y, Z, '-', 'Color', obj.tag.color, 'LineWidth', 2);
-                hold(f.Children(1).Children(ind(1)), "off");
-            end
-
-            % Copy to other requested tiles
-            if numel(ind) > 1
-                for ii = 2:size(ind, 2)
-                    o = [o, copyobj(o(:, 1), f.Children(1).Children(ind(ii)))];
-                end
-            end
-
-            obj.lines = o;
-        end
-    end
-end

miSim.m

@@ -1,379 +0,0 @@
-classdef miSim
-    % multiagent interconnection simulation
-
-    % Simulation parameters
-    properties (SetAccess = private, GetAccess = public)
-        timestep = NaN; % delta time interval for simulation iterations
-        partitioningFreq = NaN; % number of simulation timesteps at which the partitioning routine is re-run
-        maxIter = NaN; % maximum number of simulation iterations
-        domain = rectangularPrism;
-        objective = sensingObjective;
-        obstacles = cell(0, 1); % geometries that define obstacles within the domain
-        agents = cell(0, 1); % agents that move within the domain
-        adjacency = NaN; % Adjacency matrix representing communications network graph
-        partitioning = NaN;
-    end
-
-    properties (Access = private)
-        % Plot objects
-        connectionsPlot; % objects for lines connecting agents in spatial plots
-        graphPlot; % objects for abstract network graph plot
-        partitionPlot; % objects for partition plot
-
-        % Indicies for various plot types in the main tiled layout figure
-        spatialPlotIndices = [6, 4, 3, 2];
-        objectivePlotIndices = [6, 4];
-        networkGraphIndex = 5;
-        partitionGraphIndex = 1;
-    end
-
-    methods (Access = public)
-        function [obj, f] = initialize(obj, domain, objective, agents, timestep, partitoningFreq, maxIter, obstacles)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-                domain (1, 1) {mustBeGeometry};
-                objective (1, 1) {mustBeA(objective, 'sensingObjective')};
-                agents (:, 1) cell;
-                timestep (:, 1) double = 0.05;
-                partitoningFreq (:, 1) double = 0.25
-                maxIter (:, 1) double = 1000;
-                obstacles (:, 1) cell {mustBeGeometry} = cell(0, 1);
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
-            end
-
-            % Define simulation time parameters
-            obj.timestep = timestep;
-            obj.maxIter = maxIter;
-
-            % Define domain
-            obj.domain = domain;
-            obj.partitioningFreq = partitoningFreq;
-
-            % Add geometries representing obstacles within the domain
-            obj.obstacles = obstacles;
-
-            % Define objective
-            obj.objective = objective;
-
-            % Define agents
-            obj.agents = agents;
-
-            % Compute adjacency matrix
-            obj = obj.updateAdjacency();
-
-            % Create initial partitioning
-            obj = obj.partition();
-
-            % Set up initial plot
-            % Set up axes arrangement
-            % Plot domain
-            [obj.domain, f] = obj.domain.plotWireframe(obj.spatialPlotIndices);
-
-            % Plot obstacles
-            for ii = 1:size(obj.obstacles, 1)
-                [obj.obstacles{ii}, f] = obj.obstacles{ii}.plotWireframe(obj.spatialPlotIndices, f);
-            end
-
-            % Plot objective gradient
-            f = obj.objective.plot(obj.objectivePlotIndices, f);
-
-            % Plot agents and their collision geometries
-            for ii = 1:size(obj.agents, 1)
-                [obj.agents{ii}, f] = obj.agents{ii}.plot(obj.spatialPlotIndices, f);
-            end
-
-            % Plot communication links
-            [obj, f] = obj.plotConnections(obj.spatialPlotIndices, f);
-
-            % Plot abstract network graph
-            [obj, f] = obj.plotGraph(obj.networkGraphIndex, f);
-
-            % Plot domain partitioning
-            [obj, f] = obj.plotPartitions(obj.partitionGraphIndex, f);
-        end
-        function [obj, f] = run(obj, f)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
-            end
-
-            % Create axes if they don't already exist
-            f = firstPlotSetup(f);
-
-            % Set up times to iterate over
-            times = linspace(0, obj.timestep * obj.maxIter, obj.maxIter+1)';
-            partitioningTimes = times(obj.partitioningFreq:obj.partitioningFreq:size(times, 1));
-
-            % Start video writer
-            v = setupVideoWriter(obj.timestep);
-            v.open();
-
-            for ii = 1:size(times, 1)
-                % Display current sim time
-                t = times(ii);
-                fprintf("Sim Time: %4.2f (%d/%d)\n", t, ii, obj.maxIter)
-
-                % Check if it's time for new partitions
-                updatePartitions = false;
-                if ismember(t, partitioningTimes)
-                    updatePartitions = true;
-                    obj = obj.partition();
-                end
-
-                % Iterate over agents to simulate their motion
-                for jj = 1:size(obj.agents, 1)
-                    obj.agents{jj} = obj.agents{jj}.run(obj.objective, obj.domain, obj.partitioning);
-                end
-    
-                % Update adjacency matrix
-                obj = obj.updateAdjacency;
-    
-                % Update plots
-                [obj, f] = obj.updatePlots(f, updatePartitions);
-
-                % Write frame in to video
-                I = getframe(f);
-                v.writeVideo(I);
-            end
-
-            % Close video file
-            v.close();
-        end
-        function obj = partition(obj)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-            end
-
-            % Assess sensing performance of each agent at each sample point
-            % in the domain
-            agentPerformances = cellfun(@(x) reshape(x.sensorModel.sensorPerformance(x.pos, x.pan, x.tilt, [obj.objective.X(:), obj.objective.Y(:), zeros(size(obj.objective.X(:)))]), size(obj.objective.X)), obj.agents, 'UniformOutput', false);
-            agentPerformances = cat(3, agentPerformances{:});
-            
-            % Get highest performance value at each point
-            [~, idx] = max(agentPerformances, [], 3);
-
-            % Collect agent indices in the same way
-            agentInds = cellfun(@(x) x.index * ones(size(obj.objective.X)), obj.agents, 'UniformOutput', false);
-            agentInds = cat(3, agentInds{:});
-
-            % Get highest performing agent's index
-            [m,n,~] = size(agentInds);
-            [i,j] = ndgrid(1:m, 1:n);
-            obj.partitioning = agentInds(sub2ind(size(agentInds), i, j, idx));
-        end
-        function [obj, f] = updatePlots(obj, f, updatePartitions)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
-                updatePartitions (1, 1) logical = false;
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
-            end
-
-            % Update agent positions, collision geometries
-            for ii = 1:size(obj.agents, 1)
-                obj.agents{ii}.updatePlots();
-            end
-
-            % The remaining updates might be possible to do in a clever way
-            % that moves existing lines instead of clearing and 
-            % re-plotting, which is much better for performance boost
-
-            % Update agent connections plot
-            delete(obj.connectionsPlot);
-            [obj, f] = obj.plotConnections(obj.spatialPlotIndices, f);
-
-            % Update network graph plot
-            delete(obj.graphPlot);
-            [obj, f] = obj.plotGraph(obj.networkGraphIndex, f);
-
-            % Update partitioning plot
-            if updatePartitions
-                delete(obj.partitionPlot);
-                [obj, f] = obj.plotPartitions(obj.partitionGraphIndex, f);
-            end
-
-            % reset plot limits to fit domain
-            for ii = 1:size(obj.spatialPlotIndices, 2)
-                xlim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(1), obj.domain.maxCorner(1)]);
-                ylim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(2), obj.domain.maxCorner(2)]);
-                zlim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(3), obj.domain.maxCorner(3)]);
-            end
-
-            drawnow;
-        end
-        function obj = updateAdjacency(obj)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-            end
-
-            % Initialize assuming only self-connections
-            A = logical(eye(size(obj.agents, 1)));
-
-            % Check lower triangle off-diagonal connections
-            for ii = 2:size(A, 1)
-                for jj = 1:(ii - 1)
-                    if norm(obj.agents{ii}.pos - obj.agents{jj}.pos) <= min([obj.agents{ii}.comRange, obj.agents{jj}.comRange])
-                        % Make sure that obstacles don't obstruct the line
-                        % of sight, breaking the connection
-                        for kk = 1:size(obj.obstacles, 1)
-                            if ~obj.obstacles{kk}.containsLine(obj.agents{ii}.pos, obj.agents{jj}.pos)
-                                A(ii, jj) = true;
-                            end
-                        end
-                        % need extra handling for cases with no obstacles
-                        if isempty(obj.obstacles)
-                            A(ii, jj) = true;
-                        end
-                    end
-                end
-            end
-
-            obj.adjacency = A | A';
-        end
-        function [obj, f] = plotConnections(obj, ind, f)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-                ind (1, :) double = NaN;
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
-            end
-
-            % Iterate over lower triangle off-diagonal region of the 
-            % adjacency matrix to plot communications links between agents
-            X = []; Y = []; Z = [];
-            for ii = 2:size(obj.adjacency, 1)
-                for jj = 1:(ii - 1)
-                    if obj.adjacency(ii, jj)
-                        X = [X; obj.agents{ii}.pos(1), obj.agents{jj}.pos(1)];
-                        Y = [Y; obj.agents{ii}.pos(2), obj.agents{jj}.pos(2)];
-                        Z = [Z; obj.agents{ii}.pos(3), obj.agents{jj}.pos(3)];
-                    end
-                end
-            end
-            X = X'; Y = Y'; Z = Z';
-
-            % Plot the connections
-            if isnan(ind)
-                hold(f.CurrentAxes, "on");
-                o = plot3(f.CurrentAxes, X, Y, Z, 'Color', 'g', 'LineWidth', 2, 'LineStyle', '--');
-                hold(f.CurrentAxes, "off");
-            else
-                hold(f.Children(1).Children(ind(1)), "on");
-                o = plot3(f.Children(1).Children(ind(1)), X, Y, Z, 'Color', 'g', 'LineWidth', 2, 'LineStyle', '--');
-                hold(f.Children(1).Children(ind(1)), "off");
-            end
-
-            % Copy to other plots
-            if size(ind, 2) > 1
-                for ii = 2:size(ind, 2)
-                    o = [o, copyobj(o(:, 1), f.Children(1).Children(ind(ii)))];
-                end 
-            end
-
-            obj.connectionsPlot = o;
-        end
-        function [obj, f] = plotPartitions(obj, ind, f)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-                ind (1, :) double = NaN;
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
-            end
-
-            if isnan(ind)
-                hold(f.CurrentAxes, 'on');
-                o = imagesc(f.CurrentAxes, obj.partitioning);
-                hold(f.CurrentAxes, 'off');
-            else
-                hold(f.Children(1).Children(ind(1)), 'on');
-                o = imagesc(f.Children(1).Children(ind(1)), obj.partitioning);
-                hold(f.Children(1).Children(ind(1)), 'on');
-                if size(ind, 2) > 1
-                    for ii = 2:size(ind, 2)
-                        o = [o, copyobj(o(1), f.Children(1).Children(ind(ii)))];
-                    end
-                end
-            end
-            obj.partitionPlot = o;
-
-        end
-        function [obj, f] = plotGraph(obj, ind, f)
-            arguments (Input)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-                ind (1, :) double = NaN;
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')} = figure;
-            end
-            arguments (Output)
-                obj (1, 1) {mustBeA(obj, 'miSim')};
-                f (1, 1) {mustBeA(f, 'matlab.ui.Figure')};
-            end
-
-            % Form graph from adjacency matrix
-            G = graph(obj.adjacency, 'omitselfloops');
-
-            % Plot graph object
-            if isnan(ind)
-                hold(f.CurrentAxes, 'on');
-                o = plot(f.CurrentAxes, G, 'LineStyle', '--', 'EdgeColor', 'g', 'NodeColor', 'k', 'LineWidth', 2);
-                hold(f.CurrentAxes, 'off');
-            else
-                hold(f.Children(1).Children(ind(1)), 'on');
-                o = plot(f.Children(1).Children(ind(1)), G, 'LineStyle', '--', 'EdgeColor', 'g', 'NodeColor', 'k', 'LineWidth', 2);
-                hold(f.Children(1).Children(ind(1)), 'off');
-                if size(ind, 2) > 1
-                    for ii = 2:size(ind, 2)
-                        o = [o; copyobj(o(1), f.Children(1).Children(ind(ii)))];
-                    end
-                end
-            end
-            obj.graphPlot = o;
-        end
-    end
-
-    methods (Access = private)
-        function validateInitialization(obj)
-            % Assert obstacles do not intersect with the domain
-
-            % Assert obstacles do not intersect with each other
-
-            % Assert the objective has only one maxima within the domain
-
-            % Assert the objective's sole maximum is not inaccessible due
-            % to the placement of an obstacle
-
-        end
-        function validateLoop(obj)
-            % Assert that agents are safely inside the domain
-
-            % Assert that agents are not in proximity to obstacles
-
-            % Assert that agents are not in proximity to each other
-
-            % Assert that agents form a connected graph
-
-
-        end
-    end
-end

resources/project/9I1NhbvmbTiuVshItfSCHZiDxxI/Ac1TeO2zDmhnJ4WPcHxz_JGUcAAp.xml

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resources/project/9I1NhbvmbTiuVshItfSCHZiDxxI/S3VkGQGVBBKgX9-li9IBBbRh6Jcp.xml

@@ -0,0 +1,2 @@
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resources/project/9I1NhbvmbTiuVshItfSCHZiDxxI/l6NIqYudBCIzq4wYJm1naLreh70p.xml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
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resources/project/E2mMq2X73DyjKhlQAouGqrsyLgg/21tPnJuFct8IF0xfcC8JtR_tiLYp.xml

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resources/project/EEtUlUb-dLAdf0KpMVivaUlztwA/CCiVFlEZGOWF8RpyKjlFUC_OrW4d.xml

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resources/project/EEtUlUb-dLAdf0KpMVivaUlztwA/CCiVFlEZGOWF8RpyKjlFUC_OrW4p.xml

@@ -0,0 +1,2 @@
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resources/project/EEtUlUb-dLAdf0KpMVivaUlztwA/QAWdSKdcuP9OGm_S2NybPkCBTOYd.xml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<Info Ref="test" Type="Relative"/>

resources/project/EEtUlUb-dLAdf0KpMVivaUlztwA/QAWdSKdcuP9OGm_S2NybPkCBTOYp.xml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
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resources/project/EEtUlUb-dLAdf0KpMVivaUlztwA/QCjAM-pfjkxuIc0-mouM97I9zHEd.xml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
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resources/project/EEtUlUb-dLAdf0KpMVivaUlztwA/QCjAM-pfjkxuIc0-mouM97I9zHEp.xml

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resources/project/EEtUlUb-dLAdf0KpMVivaUlztwA/bC9JguT7xdg6hTVY9GqmttWOU6Ud.xml

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resources/project/EEtUlUb-dLAdf0KpMVivaUlztwA/bC9JguT7xdg6hTVY9GqmttWOU6Up.xml

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resources/project/EEtUlUb-dLAdf0KpMVivaUlztwA/jjRWXxv1fmTGw_ntc54vNxAyLDMd.xml

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resources/project/EEtUlUb-dLAdf0KpMVivaUlztwA/jjRWXxv1fmTGw_ntc54vNxAyLDMp.xml

@@ -1,2 +0,0 @@
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resources/project/EEtUlUb-dLAdf0KpMVivaUlztwA/s5udZfVFP9-PGBZPOy6PEk_nJDEd.xml

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+<?xml version="1.0" encoding="UTF-8"?>
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resources/project/EEtUlUb-dLAdf0KpMVivaUlztwA/s5udZfVFP9-PGBZPOy6PEk_nJDEp.xml

@@ -0,0 +1,2 @@
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resources/project/FI0gxbH-PhwjE_riDQGHPyYMHks/5Lk_HLOyBtA13ybsC7_0l8N5sPcd.xml

@@ -0,0 +1,2 @@
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resources/project/FI0gxbH-PhwjE_riDQGHPyYMHks/5Lk_HLOyBtA13ybsC7_0l8N5sPcp.xml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
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resources/project/IZmCOv6JD31mVpLELAk0ipkk3_g/_6kRedv97kNBifq-YxMdKYmJtCwp.xml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
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resources/project/IZmCOv6JD31mVpLELAk0ipkk3_g/vvaT0-TqiGnaRLajwambyiLQ2Wwp.xml

@@ -0,0 +1,2 @@
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resources/project/IZmCOv6JD31mVpLELAk0ipkk3_g/zR-9c0e4RmoTUjy3irYLxJytP9cd.xml

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resources/project/IZmCOv6JD31mVpLELAk0ipkk3_g/zR-9c0e4RmoTUjy3irYLxJytP9cp.xml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<Info location="1" type="DIR_SIGNIFIER"/>

resources/project/IkDHDbHimostG0Ka3Qk97pof68k/eU5R_sxHD3gVw76yiaPpbMUKFIkp.xml

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resources/project/IkDHDbHimostG0Ka3Qk97pof68k/xLI7SQj40yDbM71LQ8pVZ0dWmrgp.xml

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resources/project/LMc5a8ETDcRip3rYsQxn56S6obM/2JKMt-jJFCbC-SMT4nST0in4PQEp.xml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<Info location="sense.m" type="File"/>

resources/project/LMc5a8ETDcRip3rYsQxn56S6obM/3Ynm0xo_SnHtytV6kUUwOl53TZsd.xml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<Info/>

resources/project/LMc5a8ETDcRip3rYsQxn56S6obM/3Ynm0xo_SnHtytV6kUUwOl53TZsp.xml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
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resources/project/LMc5a8ETDcRip3rYsQxn56S6obM/430zy1Ki2Voh4Zh3tuAWqbgRPF8p.xml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
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resources/project/LMc5a8ETDcRip3rYsQxn56S6obM/PPOY66CYBPYXvf5ZNLF4sLYz8psp.xml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<Info location="sensorPerformance.m" type="File"/>

resources/project/NRbCR7m2f1_2pHz6LyHrTz7eFpc/IZmCOv6JD31mVpLELAk0ipkk3_gd.xml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
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resources/project/NRbCR7m2f1_2pHz6LyHrTz7eFpc/IZmCOv6JD31mVpLELAk0ipkk3_gp.xml

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resources/project/NRbCR7m2f1_2pHz6LyHrTz7eFpc/tBBDcBPWdBTCTMSBG9IGJ_TsICkd.xml

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resources/project/NRbCR7m2f1_2pHz6LyHrTz7eFpc/tBBDcBPWdBTCTMSBG9IGJ_TsICkp.xml

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+<?xml version="1.0" encoding="UTF-8"?>
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resources/project/SIL3u_W39LwE7HHYsarfFmr9gVQ/0lSq9ZcW6wGcu05HTGCManxXSWgp.xml

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resources/project/SIL3u_W39LwE7HHYsarfFmr9gVQ/4XyMCGilNSTkYZYCWT4IaoSxyRQd.xml

@@ -0,0 +1,2 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<Info/>