Abstract
A new method for the planning of robot trajectories is presented. The method assumes that joint-space knots have been generated from Cartesian knots by an inverse kinematics algorithm. The method is based on the globally optimal periodic interpolation scheme derived by Schoenberg, and is particularly suited for periodic robot motions. Of all possible periodic joint trajectories which pass through a specified set of knots, the trajectory derived is the best. The performance criterion used is the integral (over one period) of the square of a combination of the joint velocity and the joint jerk
| Original language | American English |
|---|---|
| Journal | Decision and Control, 1992., Proceedings of the 31st IEEE Conference on |
| Volume | 4 |
| DOIs | |
| State | Published - Dec 1 1992 |
Keywords
- Cartesian knots
- Schoenberg splines
- globally optimal periodic interpolation
- inverse kinematics
- joint jerk
- joint velocity
- joint-space knots
- motion control
- performance criterion
- repetitive tasks
- robot
- trajectory planning
Disciplines
- Electrical and Computer Engineering
- Robotics