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

Proceedings - IEEE International Conference on Robotics and Automation

Volumn 4, Issue , 2001, Pages 3232-3237

  Hamilton, Kelvin ^a   Lane, Dave ^a   Taylor, Nick ^a   Brown, Keith ^a  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

Author keywords

Autonomous underwater vehicles; Heterogeneous knowledge; Mission robustness; Model based diagnosis; Robot vehicles; Subsea

Indexed keywords

FAILURE ANALYSIS; LOGIC PROGRAMMING; ROBUSTNESS (CONTROL SYSTEMS); STATE SPACE METHODS; UNMANNED VEHICLES;

AUTONOMOUS ROBOTIC VEHICLES; ROBOTIC VEHICLES;

ROBOTICS;

EID: 0034861373     PISSN: 10504729     EISSN: None     Source Type: Journal    
DOI: 10.1109/ROBOT.2001.933116     Document Type: Article

References (15)

1. Diagnosing continuous systems with qualitative dynamic models
2. Modelling and identification of open-frame variable configuration unmanned underwater vehicles
3. Fault diagnosis of subsea robots using neuro-symbolic hybrid systems
4. Improving fault handling in marine vehicle course keeping systems
5. Development of a system to diagnose autonomous underwater vehicles
6. Design of the remote agent experiment lot spacecraft autonomy
7. Selecting tools and techniques for model based diagnosis