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A learning paradigm for motion control of mobile manipulators

Foudil AbdessemedEric MonacelliKhier Benmahammed — 2006

International Journal of Applied Mathematics and Computer Science

Motion control of a mobile manipulator is discussed. The objective is to allow the end-effector to track a given trajectory in a fixed world frame. The motion of the platform and that of the manipulator are coordinated by a neural network which is a kind of graph designed from the kinematic model of the system. A learning paradigm is used to produce the required reference variables for each of the mobile platform and the robot manipulator for an overall coordinate behavior. Simulation results are...

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