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Fault diagnosis on autonomous robotic vehicles with RECOVERY: an integrated heterogeneous-knowledge approach

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4 Author(s)
K. Hamilton ; Dept. of Comput. & Electr. Eng., Heriot-Watt Univ., Edinburgh, UK ; D. Lane ; N. Taylor ; K. Brown

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.

Published in:

Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on  (Volume:4 )

Date of Conference:

2001