Abstract
Probabilistic roadmaps (PRMs) are a sampling-based approach to motion-planning that encodes feasible paths through the environment using a graph created from a subset of valid positions. Prior research has shown that PRMs can be augmented with useful information to model interesting scenarios related to multi-agent interaction and coordination. © 2012 IEEE.
Original language | English (US) |
---|---|
Title of host publication | 2012 IEEE International Conference on Robotics and Automation |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 3192-3199 |
Number of pages | 8 |
ISBN (Print) | 9781467314053 |
DOIs | |
State | Published - May 2012 |
Externally published | Yes |