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
Abstract
Laura Cecilia Antonio-Gopar, Carlos López-Franco, Nancy Arana‐Daniel, Eric Gonzalez-Vallejo, Alma Y. Alanís
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.
OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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)