<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>This paper investigates the optimal motion planning for an hyper dynamic manipulator. As case study, we consider a golf swing robot which is consisting with two actuated joint and a mechanical stoppers. Genetic Algorithm (GA) technique is proposed to solve the optimal golf swing motion which is generated by Fourier series approximation. The objective function for GA approach is to minimizing the intermediate and final state, minimizing the robot's energy consummation and maximizing the robot's speed. Obtained simulation results show the effectiveness of the proposed scheme.</p></abstract>

This paper investigates the optimal motion planning for an hyper dynamic manipulator. As case study, we consider a golf swing robot which is consisting with two actuated joint and a mechanical stoppers. Genetic Algorithm (GA) technique is proposed to solve the optimal golf swing motion which is generated by Fourier series approximation. The objective function for GA approach is to minimizing the intermediate and final state, minimizing the robot's energy consummation and maximizing the robot's speed. Obtained simulation results show the effectiveness of the proposed scheme.

Optimizing Motion Planning for Hyper Dynamic Manipulator

Faculty of Electrical Engineering, Automatic Control Department, University of Sciences and Technology MB, LDEE Laboratory, BP 1505 Oran El M'Naouer, Algeria

Journal of Electrical Engineering

{"article-title":"Optimizing Motion Planning for Hyper Dynamic Manipulator"}

This paper investigates the optimal motion planning for an hyper dynamic manipulator. As case study, we consider a golf swing robot which is consisting with...

Optimizing Motion Planning for Hyper Dynamic Manipulator

Publié en ligne: 22 févr. 2012

Pages: 21 - 27

DOI: https://doi.org/10.2478/v10187-012-0003-0

Mots clés
robot motion planning, genetic algorithm, hyper dynamic manipulation, constrained optimization

This content is open access.

Optimizing Motion Planning for Hyper Dynamic Manipulator

Publié en ligne: 22 févr. 2012

Pages: 21 - 27

DOI: https://doi.org/10.2478/v10187-012-0003-0

Mots clésrobot motion planning, genetic algorithm, hyper dynamic manipulation, constrained optimization

This content is open access.

Mots clés
robot motion planning, genetic algorithm, hyper dynamic manipulation, constrained optimization