Automatic dynamics simplification for robot manipulators
Chun-Shin Lin, Po-Rong Chang
- Year
- 1984
- Citations
- 11
Abstract
An algorithm is presented for automatically generating the simplified dynamics equations of mechanical manipulators using a digital computer. The joint position dependent coefficients of these equations are simplified separately. A decomposition scheme is used for efficiently extracting the significant basis functions for each dynamic coefficient. The significance of each joint variable is tested one by one, then those of combined ones. The minimax approximation is done for constructing the objective dynamic coefficient using the extracted basis functions. FORTRAN programs are written to implement the algorithm. Some experiments are done for the Stanford arm.
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