Kinematics Modeling and Motion Planning of Tendon Driven Continuum Manipulators

Kinematics Modeling and Motion Planning of Tendon Driven Continuum Manipulators

Authors

  • Jie Zhang Department of Mechanical and Electrical Engineering, North China University of Technology, China
  • Kang Lu Department of Mechanical and Electrical Engineering, North China University of Technology, China
  • Junjie Yuan Department of Mechanical and Electrical Engineering, North China University of Technology, China
  • Jiejian Di Department of Mechanical and Electrical Engineering, North China University of Technology, China
  • Guangping He Department of Mechanical and Electrical Engineering, North China University of Technology, China

DOI:

https://doi.org/10.37965/jait.2020.0041

Keywords:

kinematics, motion planning, continuum manipulators, robots

Abstract

Continuum manipulators have important applications in the human–machine interaction fields. The kinematics, dynamics, and control issues of the continuum manipulators are rather different from a conventional rigid-link manipulator. By the aid of Lie groups theory and exponential coordinate representations, the kinematics of the continuum manipulators with piecewise constant curvatures and actuated by tendons is investigated in this paper. On the basis of differential kinematics analysis, the complete Jacobian of the continuum manipulators is derived analytically, and then a new motion planning approach, named as “dynamic coordination method” is presented for the multisegments continuum manipulators, which is a class of superredundant manipulators. The novel motion planning approach is featured by some appealing properties, and the feasibility of the modeling and the motion planning method is demonstrated by some numerical simulations.

Metrics

Metrics Loading ...

Downloads

Published

2020-12-28

How to Cite

Jie Zhang, Kang Lu, Junjie Yuan, Di, J., & He, G. (2020). Kinematics Modeling and Motion Planning of Tendon Driven Continuum Manipulators. Journal of Artificial Intelligence and Technology, 1(1), 28–36. https://doi.org/10.37965/jait.2020.0041

Issue

Section

Research Articles
Loading...