Title
Fault tolerant adaptive mission planning with semantic knowledge representation for autonomous underwater vehicles
Abstract
This paper proposes a novel approach for autonomous mission plan recovery for maintaining operability of unmanned underwater vehicles. It combines the benefits of knowledge-based ontology representation, autonomous partial ordering plan repair and robust mission execution. The approach uses the potential of ontology reasoning in order to orient the planning algorithms adapting the mission plan of the vehicle. It can handle uncertainty and action scheduling in order to maximize mission efficiency and minimise mission failures due to external unexpected factors. Its performance is presented in a set of simulated scenarios for different concepts of operations for the underwater domain. The paper concludes by showing the results of a trial demonstration carried out on a real underwater platform. The results of this paper are readily applicable to land and air robotics.
Year
DOI
Venue
2008
10.1109/IROS.2008.4650836
IROS
Keywords
Field
DocType
knowledge-based ontology representation,inference mechanisms,mobile robots,semantic knowledge representation,autonomous underwater vehicles,fault tolerance,fault tolerant adaptive mission planning,path planning,robust mission execution,autonomous mission plan recovery,ontology reasoning,unmanned underwater vehicles,ontologies (artificial intelligence),autonomous partial ordering plan repair,telerobotics,underwater vehicles,partial order,design automation,ontologies,planning,knowledge representation,knowledge base,maintenance engineering,fault tolerant
Ontology (information science),Motion planning,Computer vision,Computer science,Operability,Fault tolerance,Artificial intelligence,Telerobotics,Maintenance engineering,Mobile robot,Robotics
Conference
ISBN
Citations 
PageRank 
978-1-4244-2057-5
4
0.50
References 
Authors
6
4
Name
Order
Citations
PageRank
Pedro Patrón1376.15
Emilio Miguelanez2192.70
Yvan R. Petillot311210.72
David M. Lane422441.74