Please use this identifier to cite or link to this item: https://doi.org/10.1109/AIS.2010.5547041
Title: Hierarchical agent-based command and control system for Autonomous Underwater Vehicles
Authors: Teck, T.Y. 
Chitre, M. 
Vadakkepat, P. 
Keywords: Autonomous Underwater Vehicle (AUV)
Command and control system
Hybrid architecture
Modularity
Software architecture
Issue Date: 2010
Source: Teck, T.Y.,Chitre, M.,Vadakkepat, P. (2010). Hierarchical agent-based command and control system for Autonomous Underwater Vehicles. IEEE 2010 International Conference on Autonomous and Intelligent Systems, AIS 2010 : -. ScholarBank@NUS Repository. https://doi.org/10.1109/AIS.2010.5547041
Abstract: Over the past decades, the design and development of mission based Autonomous Underwater Vehicle (AUV) continues to challenge researchers. Although AUV technology has matured and commercial systems have appeared in the market, a generic yet robust AUV command and control (C2) system still remains a key research area. This paper presents a command and control system architecture for modular AUVs. We particularly focus on the design and development of a generic control and software architecture for a single modular AUV while allowing natural extensions to multi-vehicle scenarios. This proposed C2 system has a hybrid modular-hierarchical control architecture. It adopts top-down approach in mission level decision making and task planning while utilizing bottom-up approach for navigational control, obstacle avoidance and vehicle fault detection. Each level consists of one or more autonomous agent components handling different C2 tasks. This structure provides the vehicle developers with an explicit view of the clearly defined control responsibilities at different level of control hierarchy. The resultant C2 system is currently operational on the STARFISH AUV built at the ARL of the National University of Singapore. It has successfully executed some autonomous missions during sea trials carried out around the Singapore coastal area. © 2010 IEEE.
Source Title: IEEE 2010 International Conference on Autonomous and Intelligent Systems, AIS 2010
URI: http://scholarbank.nus.edu.sg/handle/10635/51176
ISBN: 9781424471072
DOI: 10.1109/AIS.2010.5547041
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