Variable-resolution velocity roadmap generation considering safety constraints for mobile robots
Jingyu Xiang, Yuichi Tazaki, Tatsuya Suzuki, Blaine Levedahl
- Year
- 2012
- Citations
- 7
Abstract
This research develops a new roadmap method for autonomous mobile robots based on variable-resolution partitioning of a continuous state space. Unlike conventional roadmaps, which include position information only, the proposed roadmap also includes velocity information. Each node of the proposed roadmap consists of a fixed position and a range of velocity values, where the velocity ranges are determined by variable-resolution partitioning of the velocity space. An ordered pair of nodes is connected by a directed link if any combination of their velocity values is within the acceptable range of the nodes and produces a trajectory satisfying a set of safety constraints. In this manner, a possible trajectory connecting an arbitrary starting node and destination node is obtained by applying a graph search technique on the proposed roadmap. The proposed method is evaluated through simulations.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991