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Neural Network Control of a Robot Interacting With an Uncertain Viscoelastic Environment

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4 Author(s)
S. Bhasin ; Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL, USA ; K. Dupree ; P. M. Patre ; W. E. Dixon

A continuous controller is developed for a robot that moves in free space, undergoes a collision with a viscoelastic environment, and then regulates the new coupled dynamic system to a desired setpoint. Since the model for the viscoelastic surface contains uncertainties that do not satisfy the linear-in-the-parameters assumption, the model is approximated by a neural network feedforward term, which is combined with a continuous feedback term to guarantee uniformly ultimately bounded regulation of the system despite parametric uncertainties in the robot and the viscoelastic environment. Experimental results of a two-link robot interacting with a human tissue phantom demonstrate the performance of the proposed controller.

Published in:

IEEE Transactions on Control Systems Technology  (Volume:19 ,  Issue: 4 )