Paper Info
Title
Multi-objective Genetic Manipulator Trajectory Planner
Abstract
This paper proposes a multi-objective genetic algorithm to optimize a manipulator trajectory. The planner has several objectives namely the minimization of the space and join arm displacements and the energy required in the trajectory, without colliding with any obstacles in the workspace. Simulations results are presented for robots with two and three degrees of freedom, considering the optimization of two and three objectives.
Year
DOI
Venue
2004
10.1007/978-3-540-24653-4_23
Lecture Notes in Computer Science
Keywords
Field
DocType
degree of freedom,genetics
Evolutionary algorithm,Control theory,Computer science,Workspace,Multi-objective optimization,Minification,Artificial intelligence,Trajectory,Genetic algorithm,Robotics,Distributed computing,Simulation,Robot
Conference
Volume
ISSN
Citations 
3005
0302-9743
6
PageRank 
References 
Authors
0.63
10
3
Name
Order
Citations
PageRank
Eduardo José Solteiro Pires1284.97
Paulo B. de Moura Oliveira2309.66
José António Tenreiro Machado312014.92