Time-optimal interception of objects moving along topologically varying paths
Elizabeth A. Croft, R. G. Fenton, B. Benhabib
- Year
- 2002
- Citations
- 8
Abstract
In this paper, the online planning of gross robot motion for target interception is considered within the context of an active prediction planning and execution (APPE) strategy. The objective is to plan online an optimal robot trajectory such that the robot end-effector and the object will arrive simultaneously at a planned pre-grasping rendezvous-point. Three issues must be addressed: rendezvous-point planning, optimal robot trajectory planning, and re-planning in response to gross changes in the predicted target-path. Solutions to the first two problems are reviewed, and the third issue is considered herein. A strategy which determines when re-planning is necessary, modifies the rendezvous-point, and re-plans a "patch-trajectory" is proposed.
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