Cartesian space motion planning for robots. An industrial implementation
Gianluca Antonelli, S. Chiaverini, Marco Palladino, Gian Paolo Gerio, Gerardo Renga
- Year
- 2004
- Citations
- 11
Abstract
This work presents an industrial implementation of a minimum time path-following algorithm. The proposed algorithm handles Cartesian-space based trajectories that exhibit a trapezoidal velocity profile; point-to-point linear and circular motions as well as fly movements are considered. The proposed solution works off-line, is based on the knowledge of the dynamic-model and is not iterative; moreover, the computational burden is kept limited by suitable simplifications. The development and testing has been achieved considering a Comau SMART H4 robot, a closed-chain six-degree-of-freedom industrial manipulator.
Keywords
Related papers
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