Name
Abstract | ||
|---|---|---|
This article presents an approach to improve and monitor the behavior of a skid-steering rover on rough terrains. An adaptive locomotion control generates speeds references to avoid slipping situations. An enhanced odometry provides a better estimation of the distance traveHed. A probabilistic classification procedure provides an evaluation of the locomotion efficiency on-line, with a detection of Locomotion Faults. Results obtained with a Marsokbod rover are presented throughout the paper. |
Year | Venue | Keywords |
|---|---|---|
2003 | IROS 2003: PROCEEDINGS OF THE 2003 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4 | odometry,mobile robots,probability,hidden markov model |
Field | DocType | Citations |
Slipping,Computer vision,Motion control,Computer science,Terrain,Odometry,Artificial intelligence,Adaptive control,Probabilistic classification,Hidden Markov model,Mobile robot | Conference | 2 |
PageRank | References | Authors |
0.45 | 1 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thierry Peynot | 1 | 107 | 14.82 |
| Simon Lacroix | 2 | 2 | 0.45 |