2018Unpublished venueRequires access

Inverse Kinematics for a Manipulator Robot based on Differential Evolution Algorithm

Laura Cecilia Antonio-Gopar, Carlos López-Franco, Nancy Arana‐Daniel, Eric Gonzalez-Vallejo, Alma Y. Alanís

Open publisher page 8 citations

Abstract

The solution of the inverse kinematics is complicated when the robot is redundant, since there are many solutions. In this work we propose to use the Differential Evolution (DE) algorithm. This algorithm solves the estimation of the end effector pose. The proposed algorithm does not require the inversion of the Jacobian matrix, avoiding falling into singular configurations. The simulation results demonstrate that the proposed algorithm is able to solve the inverse kinematics problem and find optimal configuration for a redundant manipulator.

About this research paper

What this paper is about

The solution of the inverse kinematics is complicated when the robot is redundant, since there are many solutions. In this work we propose to use the Differential Evolution (DE) algorithm. This algorithm solves the estimation of the end effector pose. The proposed algorithm does not require the inversion of the Jacobian matrix, avoiding falling into singular configurations. The simulation results demonstrate that the proposed algorithm is able to solve the inverse kinematics problem and find optimal configuration for a redundant manipulator.

Why it matters

OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The solution of the inverse kinematics is complicated when the robot is redundant, since there are many solutions. In this work we propose to use the Differential Evolution (DE) algorithm. This algorithm solves the estimation of the end effector pose. The proposed algorithm does not require the inversion of the Jacobian matrix, avoiding falling into singular configurations. The simulation results demonstrate that the proposed algorithm is able to solve the inverse kinematics problem and find optimal configuration for a redundant manipulator.

Key concepts: Inverse kinematics, Jacobian matrix and determinant, Kinematics, Computer science, Robot kinematics, Inverse, Algorithm, Inversion (geology)

Related papers

Back to paper searchBrowse research topicsOriginal source
Inverse Kinematics for a Manipulator Robot based on Differential Evolution Algorithm — Research Paper | ScholarLens