Acquiring Mobile Robot Behaviors by Learning Trajectory Velocities with Multiple FAM Matrices


In this paper we describe an unsupervised robot learning method which is based on the robot learning a mapping between sensors and trajectory velocities. This enables the robot to acquire object avoidance, wall following and goal seeking behaviors simultaneously without incurring the credit assignment problem. To improve the robot’s perception and behaviors… (More)
DOI: 10.1109/ROBOT.1998.677049


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