Design of a mission control system for an AUV

References

• Arkin , RC . 1986 . “ Path planning for a vision-based autonomous robot ” . In Proceedings of the SPIE Conference on Mobile Robots 240 – 249 . Cambridge
   Google Scholar
• Arkin , RC . 1998 . Behavior-Based Robotics , Cambridge : MIT Press .
   Google Scholar
• Bellingham , JG , Const , TR and Beaton , RM . 1990 . “ Keeping layered control simple ” . In IEEE Symposium on Autonomous Underwater Vehicles Technology 3 – 8 . Washington, DC, , USA
   Google Scholar
• Benjamin , MR . 2006 . A Guide to the IvP Helm for Autonomous Marine Vehicle Control , Internal report from NAVSEA Division Newport RI Massachusetts Institute of Technology .
   Google Scholar
• Bennet , AA and Leonard , JJ . 2000 . A behavior-based approach to adaptive feature detection and following with autonomous underwater vehicles . IEEE J. Oceanic Eng. , : 213 – 226 .
   Google Scholar
• Brooks , RA . 1986 . A robust layered control system for a mobile robot . IEEE J. Robot. Auto. , 2 : 14 – 23 .
   Google Scholar
• Caccia , M and Veruggio , G . 2000 . Guidance and control of a reconfigurable unmanned underwater vehicle . IFAC Contr. Eng. Pract. , 8 : 21 – 37 .
   Web of Science ®Google Scholar
• Carreras , M , Ridao , P , Garcia , R and Batlle , J . 2006 . Behaviour Control of UUVs , Edited by: Roberts , G. and Sutton , R. 67 – 86 . Advances in llumanned Marinue Vehicles. Mertfordshire : IEE .
   Google Scholar
• Kim , TW and Yuh , j . 2003 . “ Task description language for underwater robots ” . In Intl. Conference on Intelligent Robots and Systems Las Vegas, NV, , USA
   Google Scholar
• Maes , P . 1990 . Situated agents can have goals . Robot. Autom. Syst. , 6 : 49 – 70 .
   Google Scholar
• Marco , D , Healey , A and Mcghee , R . 1996 . Autonomous underwater vehicles: hybrid control of mission and motion . Auton. Rob. , 3 : 169 – 186 .
   Google Scholar
• Meystel , AM and Albus , JS . 2002 . Intelligent Systems: Architecture, Design, and Control , New York : John Wiley & Sons .
   Google Scholar
• Newman , PM . 2005 . MOOS – Mission Orientated Operating Suite , Oxford University, Department of Engineering Science .
   Google Scholar
• Oliveira , P , Pascoal , A , Silva , V and Silvestre , C . 1998 . Mission Control of the MARIUS AUV: System Design, Implementation, and Sea Trials . Int. J. Gen. Sys. , 29 : 1065 – 1085 .
   Google Scholar
• Palomeras , N , Carreras , M , Riao , P and Hernandez , E . 2006 . Mission control system for dam inspection with an auv . Intelligent Robots and Systems 2006 IEEE/RSJ Internatioal Conference , : 2551 – 2256 . China
   Google Scholar
• Payton , DW . 1986 . “ An architecture for reflexive autonomous vehicle control ” . In International Conference on Robotics and Automation 1838 – 1845 . San Francisco, CA, , USA
   Google Scholar
• Payton , DW , Keirsey , D , Kimble , D , Krozel , J and Rosenblatt , J . 1992 . Do whatever works: a robust approach to fault-tolerant autonomous control . Applied Intell. , 2 : 225 – 250 .
   Google Scholar
• Petri , CA . 1963 . “ Fundamentals of a theory of asynchronous information flow ” . In IFIP Congress 386 – 390 . Munich
   Google Scholar
• Ribas , D , Palomeras , N , Ridao , P , Carreras , M and Hernandez , E . 2007 . “ ICTINEU AUV wins the first sauc-e competition ” . In IEEE International Conference on Robotics and Automation Rome (in press)
   Google Scholar
• Rosenblatt , J and Payton , D . 1989 . “ A fine-grained alternative to the subsumption architecture for mobile robot control ” . In Proceedings of the International Joint Conference on Neural Networks 317 – 323 . Washington, DA, , USA
   Google Scholar
• Rosenblatt , J , Williams , S and Durrant-Whyte , H . 2000 . “ Behavior-based control for autonomous underwater exploration ” . In IEEE International Conference on Robotics and Automation 920 – 925 . San Francisco, , USA
   Google Scholar
• Turner , R.M. 1995 . “ Orca: intelligent adaptive reasoning for autonomous underwater vehicle control ” . In Proceedings of the FLAIRS-95 International Workshop on Intelligent Adaptive Systems 52 – 62 . Melbourne, , Florida
   Google Scholar