4.4 Article

An improved inverse kinematics solution for 6-DOF robot manipulators with offset wrists

Journal

ROBOTICA
Volume 40, Issue 7, Pages 2275-2294

Publisher

CAMBRIDGE UNIV PRESS
DOI: 10.1017/S0263574721001648

Keywords

offset wrist; inverse kinematics; robot manipulator

Categories

Funding

  1. Key Project of Foshan Kernel Technology [1920001001367]
  2. Science and Technology Project of Guangdong Province [2019B090919001]

Ask authors/readers for more resources

This paper proposes an improved method for solving the inverse kinematics problem of 6-DOF robot manipulators with offset wrists. The method utilizes the Newton iteration technique and does not require the selection of initial estimates for joint variables. The solution is divided into two parts: an analytical solution for a simplified structure and a numerical solution obtained through iteration. The method is demonstrated on a robot manipulator HSR-BR606 with an offset wrist, showing higher accuracy and shorter calculation time compared to a typical IK algorithm.
Efficiently solving inverse kinematics (IK) of robot manipulators with offset wrists remains a challenge in robotics due to noncompliance with Pieper criteria. In this paper, an improved method to solve the IK for 6-DOF robot manipulators with offset wrists is proposed. This method is based on the Newton iteration technique, but it does not require a selection of initial estimation of joint variables. The solution is divided into two parts: the first part is to reconstruct a simplified structure with analytical IK solution, and the second part is to obtain a numerical solution by iteration. Further, a robot manipulator HSR-BR606 with an offset wrist is used as an example to specifically elaborate the mathematical procedure of the method and to investigate the algorithm in terms of accuracy, efficiency, and application of motion planning. A comparative experiment is conducted with a typical IK algorithm, which demonstrates a higher accuracy and shorter calculation time of the proposed method. The mean calculation time for a single IK solution required for this algorithm is only 4% of the comparison algorithm.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available