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A study of Nonlinear Model Predictive Control (NMPC) for snake robot path following

Abstract

This paper considers Nonlinear Model Predictive Control (NMPC) in the context of snake robot locomotion. NMPC is an optimal control technique that offers the ability of handling constraints although requiring relatively significant computational resources.
In detail, we show how NMPC can be applied to achieve straight line path following control of snake robots. The paper presents simulation results which illustrate the performance of the proposed control approach. Moreover, we discuss advantages and disadvantages of NMPC as a control approach for snake robots.

Category

Academic chapter/article/Conference paper

Client

  • Research Council of Norway (RCN) / 205622

Language

English

Author(s)

Affiliation

  • SINTEF Digital / Mathematics and Cybernetics
  • Norwegian University of Science and Technology

Year

2014

Publisher

IEEE conference proceedings

Book

Proceedings of The 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014, Bali, Indonesia, 5-10 December, 2014

ISBN

978-1-4799-7396-5

Page(s)

568 - 573

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