MANIPULATION
A trajectory planner for manipulators using genetic algorithms
E. J. Solteiro Pires, J. A. Tenreiro Machado
- 发表年份
- 2003
- 引用次数
- 14
摘要
Proposes a genetic algorithm (GA) to generate trajectories for robotic manipulators. The objective is to minimize the ripple in the time evolution of robot positions and velocities. Moreover, the manipulator is required to reach a predefined goal without colliding with obstacles in the workspace. The article presents the results for several redundant and non-redundant robot manipulators.
关键词
WorkspaceRobot manipulatorTrajectoryGenetic algorithmComputer scienceRobotManipulator (device)Control theory (sociology)PlannerMobile manipulator
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002