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Front of Robot (Oriented at 90 degrees) Right Sensor (Oriented at 45 degrees) Left Sensor (Oriented at 135 degrees) Sound Source D0 D1 Signal Strength at Right Sensor = Sound Source Intensity/D1^2 Signal Strength at Left Sensor = Sound Source Intensity/D0^2
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Internal States
SensoryData
Learn/Act
Action Development
Action Selection
Action[1]
Action[2]
Action[N]
Action[i](being developed)
Action[i]
Environment
ActionCombining
Internal States
SensoryData
Learn/Act
Action Development
Action Selection
Seek
Follow
Acquired(always runs)
Action being developed.
(Seek, Follow,Acquire) 0/1 Acquire
Heading adjustment
Speed adjustment
Environment
Front of Robot(Oriented at 90 degrees)
Right Sensor(Oriented at 45 degrees)
Left Sensor(Oriented at 135 degrees)
Sound Source
D0D1
Signal Strength at Right Sensor = Sound Source Intensity/D1^2
Signal Strength at Left Sensor = Sound Source Intensity/D0^2
Input from left acoustic sensor Input from right acoustic sensor
Input layer to hiddenlayer weights
Transfer function
Hidden layer to outputlayer weights
Heading adjustment Speed adjustment
Lead robot in a line of n = 12 robots. It is manually controlled.
Follower robots. Id = 1 to n-1. Each is controlled by a feed-forward neural network. Each robotfollows the robot whose id is one less than its own.
Id = 0
Id = 1
Id = 2
Id = 3
Id = 11
Line Formation.
Lead robot. Id = 0
Modified tree Formation.
Id = 3
Id = 4 Id = 5 Id = 6 Id = 7
Id = 2
Follower robots. Id = 1 to n-1. Each is controlled by a feed-forward neural network. Each robotfollows the robot whose id is its owndivided by 2. Id = 1