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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

Language

English

Author(s)

Affiliation

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

Year

2014

Publisher

IEEE (Institute of Electrical and Electronics Engineers)

Book

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

ISBN

9781479973965

Page(s)

568 - 573

View this publication at Norwegian Research Information Repository