fixed cone radius and sigmoid sensor test parameters
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2
agent.m
2
agent.m
@@ -63,7 +63,7 @@ classdef agent
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% Initialize FOV cone
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obj.fovGeometry = cone;
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obj.fovGeometry = obj.fovGeometry.initialize([obj.pos(1:2), 0], obj.sensorModel.r, obj.pos(3), REGION_TYPE.FOV, sprintf("%s FOV", obj.label));
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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));
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end
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function obj = run(obj, sensingObjective, domain, partitioning)
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arguments (Input)
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7
miSim.m
7
miSim.m
@@ -93,6 +93,13 @@ classdef miSim
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% Plot domain partitioning
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[obj, f] = obj.plotPartitions(obj.partitionGraphIndex, f);
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% Enforce plot limits
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for ii = 1:size(obj.spatialPlotIndices, 2)
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xlim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(1), obj.domain.maxCorner(1)]);
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ylim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(2), obj.domain.maxCorner(2)]);
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zlim(f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(3), obj.domain.maxCorner(3)]);
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end
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end
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function [obj, f] = run(obj, f)
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arguments (Input)
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@@ -1,6 +1,7 @@
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classdef fixedCardinalSensor
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% Senses in the +/-x, +/- y directions at some specified fixed length
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properties
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alphaTilt = NaN;
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r = 0.1; % fixed sensing length
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end
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@@ -27,6 +28,9 @@ classdef fixedCardinalSensor
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neighborValues (4, 1) double;
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neighborPos (4, 3) double;
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end
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% Set alphaTilt to produce an FOV cone with radius 'r' on the ground
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obj.alphaTilt = atan2(obj.r, agent.pos(3));
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% Evaluate objective at position offsets +/-[r, 0, 0] and +/-[0, r, 0]
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currentPos = agent.pos(1:2);
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@@ -70,7 +74,6 @@ classdef fixedCardinalSensor
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end
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value = 0.5 * ones(size(targetPos, 1), 1);
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end
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end
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end
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@@ -7,8 +7,6 @@ classdef sigmoidSensor
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betaPan = NaN;
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alphaTilt = NaN;
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betaTilt = NaN;
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r = NaN;
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end
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methods (Access = public)
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@@ -32,8 +30,6 @@ classdef sigmoidSensor
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obj.betaPan = betaPan;
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obj.alphaTilt = alphaTilt;
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obj.betaTilt = betaTilt;
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obj.r = obj.alphaDist;
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end
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function [values, positions] = sense(obj, agent, sensingObjective, domain, partitioning)
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arguments (Input)
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@@ -68,13 +64,13 @@ classdef sigmoidSensor
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value (:, 1) double;
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end
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d = vecnorm(agentPos - targetPos, 2, 2);
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panAngle = atan2(targetPos(:, 2) - agentPos(2), targetPos(:, 1) - agentPos(1)) - agentPan;
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tiltAngle = atan2(targetPos(:, 3) - agentPos(3), d) - agentTilt;
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d = vecnorm(agentPos - targetPos, 2, 2); % distance from sensor to target
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x = vecnorm(agentPos(1:2) - targetPos(:, 1:2), 2, 2); % distance from sensor nadir to target nadir (i.e. distance ignoring height difference)
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tiltAngle = atan2(targetPos(:, 3) - agentPos(3), x) - agentTilt;
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% Membership functions
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mu_d = 1 - (1 ./ (1 + exp(-obj.betaDist .* (d - obj.alphaDist)))); % distance
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mu_p = (1 ./ (1 + exp(-obj.betaPan .* (panAngle + obj.alphaPan)))) - (1 ./ (1 + exp(-obj.betaPan .* (panAngle - obj.alphaPan)))); % pan
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mu_p = 1; % pan
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mu_t = (1 ./ (1 + exp(-obj.betaPan .* (tiltAngle + obj.alphaPan)))) - (1 ./ (1 + exp(-obj.betaPan .* (tiltAngle - obj.alphaPan)))); % tilt
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value = mu_d .* mu_p .* mu_t * 1e12;
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@@ -360,7 +360,7 @@ classdef test_miSim < matlab.unittest.TestCase
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% Initialize candidate agent sensor model
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sensor = sigmoidSensor;
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sensor = sensor.initialize(1, 1, 1, 1, 1, 1);
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sensor = sensor.initialize(2.5, 3, NaN, NaN, deg2rad(15), 3);
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% Initialize candidate agent
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newAgent = tc.agents{ii}.initialize(candidatePos, zeros(1,3), 0, 0, candidateGeometry, sensor, @gradientAscent, tc.comRange, ii, sprintf("Agent %d", ii));
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@@ -434,7 +434,7 @@ classdef test_miSim < matlab.unittest.TestCase
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% Initialize agent sensor model
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sensor = sigmoidSensor;
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sensor = sensor.initialize(1, 1, 1, 1, 1, 1);
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sensor = sensor.initialize(2.5, 3, NaN, NaN, deg2rad(15), 3);
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% Initialize agents
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tc.agents = {agent; agent};
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