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A geometric method of singularity avoidance for kinematically redundant planar parallel robots

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conference contribution
posted on 2023-06-09, 14:12 authored by Nicholas Baron, Andy PhilippidesAndy Philippides, Nicolas Rojas
Methods for avoiding singularities of closed-loop robot mechanisms have been traditionally based on the value of the determinant or the condition number of the Jacobian. A major drawback of these standard techniques is that the closeness of a robot configuration to a singularity lacks geometric, physical interpretation, thus implying that it is uncertain how changes in the robot pose actually move further away the mechanism from such a problematic configuration. This paper presents a geometric approach of singularity avoidance for kinematically redundant planar parallel robots that eliminates the disadvantages of Jacobianbased techniques. The proposed method, which is based on the properties of instantaneous centres of rotation, defines a mathematical distance to a singularity and provides a reliable way of moving the robot further from a singular configuration without changing the pose of the end-effector. The approach is demonstrated on an example robot mechanism and the reciprocal of the condition number of the Jacobian is used to show its advantages.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Advances in Robot Kinematics 2018

Publisher

Springer

Volume

8

Page range

187-194

Event name

Advances in Robot Kinematics 2018

Event location

Bologna, Italy

Event type

conference

Event date

1 July- 5 July 2018

ISBN

9783319931876

Series

Springer Proceedings in Advanced Robotics

Department affiliated with

  • Informatics Publications

Research groups affiliated with

  • Centre for Computational Neuroscience and Robotics Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Editors

Vincenzo Parenti-Castelli, Jadran Lenarcic

Legacy Posted Date

2018-07-20

First Open Access (FOA) Date

2019-06-23

First Compliant Deposit (FCD) Date

2018-07-19

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