Manipulability Analysis of a Tree Type Humanoid Upper-Body Robot with Dual Redundant Arms

Articles in Press

Document Type : Article

Authors

1 Mechatronics/Robotics Laboratory, Mechanical Engineering Department National Institute of Technology, Calicut, India-673601

2 Robotics Laboratory, Mechanical Engineering Department Indian Institute of Technology, Palakkad, India- 678623

3 Laboratory of Intelligent Robotics Systems (LIRS) Institute of Information Technology and Intelligent Systems, Kazan Federal University, Kazan, Russia- 420008

Abstract

Manipulability analysis of humanoid robots with redundant arms is difficult due to the presence of large number of degrees of freedom. Most researchers address manipulability issues without considering the effects of joint limits, obstacles and singular spaces in a Cartesian workspace. Hence, development of an accurate manipulability analysis technique, which can increase task performance by considering the above-mentioned issues is crucial for completing cooperative and non-cooperative tasks. Our paper proposes a new approach for determining manipulability measurements of a humanoid robot with redundant arms doing coordinated and non-coordinated tasks by analysing manipulability ellipsoids constructed through a desired trajectory. Penalty functions for compensating joint limits and avoiding obstacle regions are multiplied along with a Jacobian matrix to generate an Augmented Jacobian matrix. Manipulability ellipsoids determined using the Augmented Jacobian for individual configurations are compared with desired manipulability ellipsoids for finalizing the joint solutions. The advantages of proposed approach over conventional approach and significance of employing proposed approach for updating joint configurations are presented in this paper. The experimental validation of the proposed method using a developed humanoid robot is also given in this paper.

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Scientia Iranica

Articles in Press, Accepted Manuscript
Available Online from 03 March 2024

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History

  • Receive Date: 11 January 2022
  • Revise Date: 02 October 2023
  • Accept Date: 03 March 2024

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