Name
Title | ||
|---|---|---|
Fault diagnosis on autonomous robotic vehicles with RECOVERY: an integrated heterogeneous-knowledge approach |
Abstract | ||
|---|---|---|
The need for embedding fault diagnosis into goal-orientated autonomous robotic vehicles for increased mission robustness is described. The RECOVERY system, a method for increasing the diagnostic capability by integrating commonly available heterogeneous knowledge is presented. Initial real-water results using the Ocean Systems Laboratory's RAUVER vehicle are given. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/ROBOT.2001.933116 | Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference |
Keywords | Field | DocType |
fault diagnosis,intelligent control,mobile robots,underwater vehicles,Ocean Systems Laboratory,RAUVER vehicle,RECOVERY system,autonomous robotic vehicles,fault diagnosis,heterogeneous knowledge,model based diagnosis,underwater vehicles | Intelligent control,Remotely operated underwater vehicle,Embedding,Subsea,Robustness (computer science),Control engineering,Engineering,Mobile robot | Conference |
Volume | Issue | ISSN |
4 | 1 | 1050-4729 |
ISBN | Citations | PageRank |
0-7803-6576-3 | 8 | 0.65 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kelvin Hamilton | 1 | 8 | 0.65 |
| David M. Lane | 2 | 224 | 41.74 |
| Nick Taylor | 3 | 34 | 5.47 |
| Keith E. Brown | 4 | 28 | 4.90 |