Literature DB >> 23918347

Solution of Inverse Kinematics for 6R Robot Manipulators With Offset Wrist Based on Geometric Algebra.

Zhongtao Fu1, Wenyu Yang, Zhen Yang.   

Abstract

In this paper, we present an efficient method based on geometric algebra for computing the solutions to the inverse kinematics problem (IKP) of the 6R robot manipulators with offset wrist. Due to the fact that there exist some difficulties to solve the inverse kinematics problem when the kinematics equations are complex, highly nonlinear, coupled and multiple solutions in terms of these robot manipulators stated mathematically, we apply the theory of Geometric Algebra to the kinematic modeling of 6R robot manipulators simply and generate closed-form kinematics equations, reformulate the problem as a generalized eigenvalue problem with symbolic elimination technique, and then yield 16 solutions. Finally, a spray painting robot, which conforms to the type of robot manipulators, is used as an example of implementation for the effectiveness and real-time of this method. The experimental results show that this method has a large advantage over the classical methods on geometric intuition, computation and real-time, and can be directly extended to all serial robot manipulators and completely automatized, which provides a new tool on the analysis and application of general robot manipulators.

Keywords:  6R robot manipulator; geometric algebra; inverse kinematics; offset wrist; symbolic elimination technique

Year:  2013        PMID: 23918347      PMCID: PMC3707203          DOI: 10.1115/1.4024239

Source DB:  PubMed          Journal:  J Mech Robot        ISSN: 1942-4302            Impact factor:   2.085


  1 in total

1.  A comparative study of three methods for robot kinematics.

Authors:  N A Aspragathos; J K Dimitros
Journal:  IEEE Trans Syst Man Cybern B Cybern       Date:  1998
  1 in total
  1 in total

1.  The optimized algorithm based on machine learning for inverse kinematics of two painting robots with non-spherical wrist.

Authors:  Xiaoqi Wang; Jianfu Cao; Lerui Chen; Heyu Hu
Journal:  PLoS One       Date:  2020-04-03       Impact factor: 3.240

  1 in total

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