Local Randomization in Neighbor Selection Improves PRM Roadmap Quality
Probabilistic Roadmap Methods (PRMs) are one of the most used classes of motion planning methods. These sampling-based methods generate robot configurations (nodes) and then connect them to form a graph (roadmap) containing representative feasible pathways. A key step in PRM roadmap construction inv...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1969.1/148341 |