Time-optimal and smooth joint path generation for robot manipulators
Binggang Cao
- 发表年份
- 1994
- 引用次数
- 19
摘要
In this paper a new approach to smooth and time-optimal unconstrained trajectory planning (point to point) for robot manipulators is presented. The optimization process is divided into two phases. The first is to obtain smooth joint trajectories. The second is to scale the time intervals for the time-optimal joint trajectories by contracting the travelling time so that the resulting velocities, accelerations and jerks at some knots or between some knots of each joint trajectory are maximal with their limitations. The resulting joint trajectories are smooth, time-optimal and have a minimum-vibration with optimal velocity profile, which is suitable for motion of robot manipulators. The results are illustrated by simulations and experiments. The results presented here are suitable for the unconstrained joint trajectory planning of general robot manipulators although the illustrative example is for an RTX SCARA type robot. >
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002