refactored agent sensing and guidance
This commit is contained in:
22
agent.m
22
agent.m
@@ -5,9 +5,12 @@ classdef agent
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label = "";
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% Sensor
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sensingFunction = @(r) 0.5; % probability of detection as a function of range
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sensorModel;
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sensingLength = 0.05; % length parameter used by sensing function
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% Guidance
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guidanceModel;
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% State
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lastPos = NaN(1, 3); % position from previous timestep
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pos = NaN(1, 3); % current position
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@@ -25,15 +28,15 @@ classdef agent
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end
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methods (Access = public)
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function obj = initialize(obj, pos, vel, cBfromC, collisionGeometry, sensingFunction, sensingLength, comRange, index, label)
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function obj = initialize(obj, pos, vel, cBfromC, collisionGeometry, sensorModel, guidanceModel, comRange, index, label)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, 'agent')};
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pos (1, 3) double;
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vel (1, 3) double;
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cBfromC (3, 3) double {mustBeDcm};
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collisionGeometry (1, 1) {mustBeGeometry};
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sensingFunction (1, 1) {mustBeA(sensingFunction, 'function_handle')} = @(r) 0.5;
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sensingLength (1, 1) double = NaN;
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sensorModel (1, 1) {mustBeSensor}
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guidanceModel (1, 1) {mustBeA(guidanceModel, 'function_handle')};
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comRange (1, 1) double = NaN;
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index (1, 1) double = NaN;
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label (1, 1) string = "";
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@@ -46,8 +49,8 @@ classdef agent
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obj.vel = vel;
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obj.cBfromC = cBfromC;
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obj.collisionGeometry = collisionGeometry;
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obj.sensingFunction = sensingFunction;
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obj.sensingLength = sensingLength;
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obj.sensorModel = sensorModel;
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obj.guidanceModel = guidanceModel;
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obj.comRange = comRange;
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obj.index = index;
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obj.label = label;
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@@ -62,8 +65,11 @@ classdef agent
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obj (1, 1) {mustBeA(obj, 'agent')};
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end
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% Do sensing to determine target position
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nextPos = obj.sensingFunction(objectiveFunction, domain, obj.pos, obj.sensingLength);
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% Do sensing
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[sensedValues, sensedPositions] = obj.sensorModel.sense(objectiveFunction, domain, obj.pos);
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% Determine next planned position
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nextPos = obj.guidanceModel(sensedValues, sensedPositions, obj.pos);
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% Move to next position
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% (dynamics not modeled at this time)
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22
geometries/cone.m
Normal file
22
geometries/cone.m
Normal file
@@ -0,0 +1,22 @@
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classdef cone
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%CONE Summary of this class goes here
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% Detailed explanation goes here
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properties
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Property1
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end
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methods
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function obj = cone(inputArg1,inputArg2)
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%CONE Construct an instance of this class
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% Detailed explanation goes here
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obj.Property1 = inputArg1 + inputArg2;
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end
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function outputArg = method1(obj,inputArg)
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%METHOD1 Summary of this method goes here
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% Detailed explanation goes here
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outputArg = obj.Property1 + inputArg;
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end
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end
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end
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14
guidanceModels/gradientAscent.m
Normal file
14
guidanceModels/gradientAscent.m
Normal file
@@ -0,0 +1,14 @@
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function nextPos = gradientAscent(sensedValues, sensedPositions, pos)
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arguments (Input)
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sensedValues (:, 1) double;
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sensedPositions (:, 3) double;
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pos (1, 3) double;
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end
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arguments (Output)
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nextPos(1, 3) double;
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end
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% Select next position by maximum sensed value
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nextPos = sensedPositions(sensedValues == max(sensedValues), :);
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nextPos = [nextPos(1, 1:2), pos(3)]; % just in case two get selected, simply pick one
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end
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6
miSim.m
6
miSim.m
@@ -24,7 +24,7 @@ classdef miSim
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obj (1, 1) {mustBeA(obj, 'miSim')};
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domain (1, 1) {mustBeGeometry};
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objective (1, 1) {mustBeA(objective, 'sensingObjective')};
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agents (:, 1) cell {mustBeAgents};
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agents (:, 1) cell;
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timestep (:, 1) double = 0.05;
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maxIter (:, 1) double = 1000;
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obstacles (:, 1) cell {mustBeGeometry} = cell(0, 1);
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@@ -94,8 +94,8 @@ classdef miSim
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times = linspace(0, obj.timestep * obj.maxIter, obj.maxIter+1)';
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% Start video writer
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obj.v.FrameRate = 1/obj.timestep;
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obj.v.Quality = 90;
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% obj.v.FrameRate = 1/obj.timestep;
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% obj.v.Quality = 90;
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obj.v.open();
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for ii = 1:size(times, 1)
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info Ref="sensingModels" Type="Relative"/>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info location="420d04e4-3880-4a45-8609-11cb30d87302" type="Reference"/>
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@@ -1,2 +0,0 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info Ref="sensingFunctions" Type="Relative"/>
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@@ -1,2 +0,0 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info location="9c9ce3cb-5989-41e8-a20d-358a95c08b20" type="Reference"/>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info Ref="guidanceModels" Type="Relative"/>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info location="1d8d2b42-2863-4985-9cf2-980917971eba" type="Reference"/>
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@@ -0,0 +1,6 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info>
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<Category UUID="FileClassCategory">
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<Label UUID="design"/>
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</Category>
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</Info>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info location="mustBeSensor.m" type="File"/>
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@@ -0,0 +1,6 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info>
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<Category UUID="FileClassCategory">
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<Label UUID="design"/>
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</Category>
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</Info>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info location="cone.m" type="File"/>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info/>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info location="sensingModels" type="File"/>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info/>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info location="guidanceModels" type="File"/>
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@@ -0,0 +1,6 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info>
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<Category UUID="FileClassCategory">
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<Label UUID="design"/>
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</Category>
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</Info>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info location="sigmoidSensor.m" type="File"/>
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@@ -0,0 +1,6 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info>
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<Category UUID="FileClassCategory">
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<Label UUID="design"/>
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</Category>
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</Info>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info location="fixedCardinalSensor.m" type="File"/>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info/>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info location="1" type="DIR_SIGNIFIER"/>
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@@ -0,0 +1,6 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info>
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<Category UUID="FileClassCategory">
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<Label UUID="design"/>
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</Category>
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</Info>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info location="gradientAscent.m" type="File"/>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info/>
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@@ -0,0 +1,2 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<Info location="1" type="DIR_SIGNIFIER"/>
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@@ -1,44 +0,0 @@
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function nextPos = basicGradientAscent(objectiveFunction, domain, pos, r)
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arguments (Input)
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objectiveFunction (1, 1) {mustBeA(objectiveFunction, 'function_handle')};
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domain (1, 1) {mustBeGeometry};
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pos (1, 3) double;
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r (1, 1) double;
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end
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arguments (Output)
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nextPos(1, 3) double;
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end
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% Evaluate objective at position offsets +/-[r, 0, 0] and +/-[0, r, 0]
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currentPos = pos(1:2);
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neighborPos = [currentPos(1) + r, currentPos(2); ... % (+x)
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currentPos(1), currentPos(2) + r; ... % (+y)
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currentPos(1) - r, currentPos(2); ... % (-x)
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currentPos(1), currentPos(2) - r; ... % (-y)
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];
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% Check for neighbor positions that fall outside of the domain
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outOfBounds = false(size(neighborPos, 1), 1);
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for ii = 1:size(neighborPos, 1)
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if ~domain.contains([neighborPos(ii, :), 0])
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outOfBounds(ii) = true;
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end
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end
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% Replace out of bounds positions with inoffensive in-bounds positions
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neighborPos(outOfBounds, 1:3) = repmat(pos, sum(outOfBounds), 1);
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% Sense values at selected positions
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neighborValues = [objectiveFunction(neighborPos(1, 1), neighborPos(1, 2)), ... % (+x)
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objectiveFunction(neighborPos(2, 1), neighborPos(2, 2)), ... % (+y)
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objectiveFunction(neighborPos(3, 1), neighborPos(3, 2)), ... % (-x)
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objectiveFunction(neighborPos(4, 1), neighborPos(4, 2)), ... % (-y)
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];
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% Prevent out of bounds locations from ever possibly being selected
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neighborValues(outOfBounds) = 0;
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% Select next position by maximum sensed value
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nextPos = neighborPos(neighborValues == max(neighborValues), :);
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nextPos = [nextPos(1, 1:2), pos(3)]; % just in case two get selected, simply pick one
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end
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60
sensingModels/fixedCardinalSensor.m
Normal file
60
sensingModels/fixedCardinalSensor.m
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@@ -0,0 +1,60 @@
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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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r = 0.1; % fixed sensing length
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end
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methods (Access = public)
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function obj = initialize(obj, r)
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arguments(Input)
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obj (1, 1) {mustBeA(obj, 'fixedCardinalSensor')};
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r (1, 1) double;
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end
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arguments(Output)
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obj (1, 1) {mustBeA(obj, 'fixedCardinalSensor')};
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end
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obj.r = r;
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end
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function [neighborValues, neighborPos] = sense(obj, objectiveFunction, domain, pos)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, 'fixedCardinalSensor')};
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objectiveFunction (1, 1) {mustBeA(objectiveFunction, 'function_handle')};
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domain (1, 1) {mustBeGeometry};
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pos (1, 3) double;
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end
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arguments (Output)
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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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% Evaluate objective at position offsets +/-[r, 0, 0] and +/-[0, r, 0]
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currentPos = pos(1:2);
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neighborPos = [currentPos(1) + obj.r, currentPos(2); ... % (+x)
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currentPos(1), currentPos(2) + obj.r; ... % (+y)
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currentPos(1) - obj.r, currentPos(2); ... % (-x)
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currentPos(1), currentPos(2) - obj.r; ... % (-y)
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];
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% Check for neighbor positions that fall outside of the domain
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outOfBounds = false(size(neighborPos, 1), 1);
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for ii = 1:size(neighborPos, 1)
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if ~domain.contains([neighborPos(ii, :), 0])
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outOfBounds(ii) = true;
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end
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end
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% Replace out of bounds positions with inoffensive in-bounds positions
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neighborPos(outOfBounds, 1:3) = repmat(pos, sum(outOfBounds), 1);
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% Sense values at selected positions
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neighborValues = [objectiveFunction(neighborPos(1, 1), neighborPos(1, 2)), ... % (+x)
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objectiveFunction(neighborPos(2, 1), neighborPos(2, 2)), ... % (+y)
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objectiveFunction(neighborPos(3, 1), neighborPos(3, 2)), ... % (-x)
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objectiveFunction(neighborPos(4, 1), neighborPos(4, 2)), ... % (-y)
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];
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% Prevent out of bounds locations from ever possibly being selected
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neighborValues(outOfBounds) = 0;
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end
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end
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end
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16
sensingModels/sigmoidSensor.m
Normal file
16
sensingModels/sigmoidSensor.m
Normal file
@@ -0,0 +1,16 @@
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function accuracy = sigmoid(sensorPos, targetPos)
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arguments (Input)
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sensorPos (1, 3) double;
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targetPos (:, 3) double;
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end
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arguments (Output)
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accuracy (:, 3) double;
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end
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end
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function distanceMembership()
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end
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24
test_miSim.m
24
test_miSim.m
@@ -185,10 +185,17 @@ classdef test_miSim < matlab.unittest.TestCase
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continue;
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end
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% Initialize candidate agent
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% Initialize candidate agent collision geometry
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candidateGeometry = rectangularPrism;
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newAgent = tc.agents{ii}.initialize(candidatePos, zeros(1,3), eye(3),candidateGeometry.initialize([candidatePos - tc.collisionRanges(ii) * ones(1, 3); candidatePos + tc.collisionRanges(ii) * ones(1, 3)], REGION_TYPE.COLLISION, sprintf("Agent %d collision volume", ii)), @(r) 0.5, tc.sensingLength, tc.comRange, ii, sprintf("Agent %d", ii));
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candidateGeometry = candidateGeometry.initialize([candidatePos - tc.collisionRanges(ii) * ones(1, 3); candidatePos + tc.collisionRanges(ii) * ones(1, 3)], REGION_TYPE.COLLISION, sprintf("Agent %d collision volume", ii));
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% Initialize candidate agent sensor model
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sensor = fixedCardinalSensor;
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sensor = sensor.initialize(tc.sensingLength);
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% Initialize candidate agent
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newAgent = tc.agents{ii}.initialize(candidatePos, zeros(1,3), eye(3), candidateGeometry, sensor, @gradientAscent, tc.comRange, ii, sprintf("Agent %d", ii));
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% Make sure candidate agent doesn't collide with
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% domain
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violation = false;
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@@ -346,9 +353,16 @@ classdef test_miSim < matlab.unittest.TestCase
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continue;
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end
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% Initialize candidate agent
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% Initialize candidate agent collision geometry
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candidateGeometry = rectangularPrism;
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newAgent = tc.agents{ii}.initialize(candidatePos, zeros(1,3), eye(3),candidateGeometry.initialize([candidatePos - tc.collisionRanges(ii) * ones(1, 3); candidatePos + tc.collisionRanges(ii) * ones(1, 3)], REGION_TYPE.COLLISION, sprintf("Agent %d collision volume", ii)), @basicGradientAscent, tc.sensingLength, tc.comRange, ii, sprintf("Agent %d", ii));
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candidateGeometry = candidateGeometry.initialize([candidatePos - tc.collisionRanges(ii) * ones(1, 3); candidatePos + tc.collisionRanges(ii) * ones(1, 3)], REGION_TYPE.COLLISION, sprintf("Agent %d collision volume", ii));
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% Initialize candidate agent sensor model
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sensor = fixedCardinalSensor;
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sensor.initialize(tc.sensingLength);
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% Initialize candidate agent
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newAgent = tc.agents{ii}.initialize(candidatePos, zeros(1,3), eye(3), candidateGeometry, sensor, @gradientAscent, tc.comRange, ii, sprintf("Agent %d", ii));
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% Make sure candidate agent doesn't collide with
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% domain
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@@ -1,10 +0,0 @@
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function mustBeAgents(agents)
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validGeometries = ["rectangularPrismConstraint";];
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if isa(agents, 'cell')
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for ii = 1:size(agents, 1)
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assert(isa(agents{ii}, "agent"), "Agent in index %d is not a valid agent class", ii);
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end
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else
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assert(isa(agents, validGeometries), "Agent is not a valid agent class");
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end
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end
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@@ -2,9 +2,9 @@ function mustBeGeometry(geometry)
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validGeometries = ["rectangularPrism";];
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if isa(geometry, 'cell')
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for ii = 1:size(geometry, 1)
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assert(isa(geometry{ii}, validGeometries), "Geometry in index %d is not a valid geometry class", ii);
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assert(any(arrayfun(@(x) isa(geometry{ii}, x), validGeometries)), "Geometry in index %d is not a valid geometry class", ii);
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end
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else
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assert(isa(geometry, validGeometries), "Geometry is not a valid geometry class");
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assert(any(arrayfun(@(x) isa(geometry, x), validGeometries)), "Geometry is not a valid geometry class");
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end
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end
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10
validators/arguments/mustBeSensor.m
Normal file
10
validators/arguments/mustBeSensor.m
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@@ -0,0 +1,10 @@
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function mustBeSensor(sensorModel)
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validSensorModels = ["fixedCardinalSensor"; "sigmoidSensor";];
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if isa(sensorModel, 'cell')
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for ii = 1:size(sensorModel, 1)
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assert(any(arrayfun(@(x) isa(sensorModel{ii}, x), validSensorModels)), "Sensor in index %d is not a valid sensor class", ii);
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end
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else
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assert(any(arrayfun(@(x) isa(sensorModel, x), validSensorModels)), "Sensor is not a valid sensor class");
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end
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end
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Reference in New Issue
Block a user