Applications of marine robotic vehicles

The ocean covers about two-thirds of the earth and has a great effect on the future existence of all human beings. About 37% of the world’s population lives within 100 km of the ocean. The ocean is generally overlooked as we focus our attention on land and atmospheric issues; we have not been able to explore the full depths of the ocean and its abundant living and non-living resources. For example, it is estimated that there are about 2,000 billion tons of manganese nodules on the floor of the Pacific Ocean near the Hawaiian Islands. We discovered, by using manned submersibles, that a large amount of carbon dioxide comes from the seafloor and extraordinary groups of organisms live in hydrothermal vent areas. Marine robots including unmanned surface vehicles and unmanned underwater vehicles can help us better understand marine and other environmental issues, protect the ocean resources of the earth from pollution, and efficiently utilize them for human welfare. This paper briefly presents some exemplary models of recent developments in marine robots in different application areas.

[1]  Junku Yuh,et al.  Robotics: State of the Art and Future Challenges , 2008 .

[2]  A.B. Baggeroer,et al.  The state of the art in underwater acoustic telemetry , 2000, IEEE Journal of Oceanic Engineering.

[3]  J. A. Catipovic,et al.  Acoustic communications system for the AMMT program , 1996, OCEANS 96 MTS/IEEE Conference Proceedings. The Coastal Ocean - Prospects for the 21st Century.

[4]  N. A. Brokloff,et al.  Matrix algorithm for Doppler sonar navigation , 1994, Proceedings of OCEANS'94.

[5]  Junku Yuh,et al.  Underwater autonomous manipulation for intervention missions AUVs , 2009 .

[6]  Sanem Sariel,et al.  Distributed Multi-AUV Coordination in Naval Mine Countermeasure Missions , 2006 .

[7]  Art Kleiner,et al.  Ice Class AUV Development , 2011 .

[8]  Kristina Lerman,et al.  Comparative analysis of top-down and bottom-up methodologies for multi-agent system design , 2005, AAMAS '05.

[9]  Vittorio Murino,et al.  Underwater Computer Vision and Pattern Recognition , 2000, Comput. Vis. Image Underst..

[10]  D.M. Lane,et al.  A Multi-Agent Architecture to Increase Coordination Efficiency in Multi-AUV Operations , 2007, OCEANS 2007 - Europe.

[11]  John J. Leonard,et al.  Cooperative AUV Navigation using a Single Maneuvering Surface Craft , 2010, Int. J. Robotics Res..

[12]  Daniel J. Stilwell,et al.  Redundant manipulator techniques for partially decentralized path planning and control of a platoon of autonomous vehicles , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[13]  Stefan B. Williams,et al.  Simultaneous localisation and mapping on the Great Barrier Reef , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[14]  Jon Rigelsford,et al.  Underwater Robots: Motion and Force Control of Vehicle-Manipulator Systems , 2004 .

[15]  L. Gambella,et al.  Short Range Full Ocean Depth Underwater Precision 6DOF Position/motion Tracker For Autonomous Manipulation , 2008 .

[16]  Junku Yuh,et al.  Real-time center of buoyancy identification for optimal hovering in autonomous underwater intervention , 2010, Intell. Serv. Robotics.

[17]  Gianluca Antonelli,et al.  Underwater robots: Motion and force control of vehicle , 2006 .

[18]  Chris Murphy,et al.  Toward extraplanetary under-ice exploration: Robotic steps in the Arctic , 2009 .

[19]  Naomi Ehrich Leonard,et al.  Control of coordinated patterns for ocean sampling , 2007, Int. J. Control.

[20]  Lynne E. Parker,et al.  Distributed Intelligence: Overview of the Field and Its Application in Multi-Robot Systems , 2008, AAAI Fall Symposium: Regarding the Intelligence in Distributed Intelligent Systems.

[21]  Timmy Gambin,et al.  The Malta cistern mapping project : expedition II , 2009 .

[22]  P. Pietryka,et al.  Acoustic communication between two autonomous underwater vehicles , 1994, Proceedings of IEEE Symposium on Autonomous Underwater Vehicle Technology (AUV'94).

[23]  K. Rajan,et al.  Onboard Adaptive Control of AUVs using Automated Planning and Execution , 2009 .

[24]  Gianluca Antonelli,et al.  Task-priority redundancy resolution for underwater vehicle-manipulator systems , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[25]  J. P. Brown,et al.  Toward an improved understanding of thruster dynamics for underwater vehicles , 1995, IEEE Journal of Oceanic Engineering.

[26]  H. Nijmeijer,et al.  Group coordination and cooperative control , 2006 .

[27]  David M. Fratantoni,et al.  Multi-AUV Control and Adaptive Sampling in Monterey Bay , 2006, IEEE Journal of Oceanic Engineering.

[28]  Naomi Ehrich Leonard,et al.  Cooperative Control for Ocean Sampling: The Glider Coordinated Control System , 2008, IEEE Transactions on Control Systems Technology.

[29]  J.E. Manley,et al.  Unmanned surface vehicles, 15 years of development , 2008, OCEANS 2008.

[30]  Jean-Jacques E. Slotine,et al.  The influence of thruster dynamics on underwater vehicle behavior and their incorporation into control system design , 1990 .

[31]  Robert C. Spindel,et al.  An acoustic navigation system , 1974 .

[32]  Alcherio Martinoli,et al.  Macroscopic Modeling of Aggregation Experiments using Embodied Agents in Teams of Constant and Time-Varying Sizes , 2004, Auton. Robots.

[33]  Chris Murphy,et al.  Toward extraplanetary under‐ice exploration: Robotic steps in the Arctic , 2009, J. Field Robotics.

[34]  Junku Yuh,et al.  Design and Control of Autonomous Underwater Robots: A Survey , 2000, Auton. Robots.

[35]  J. G. Bellingham,et al.  Guest editorial - autonomous ocean-sampling networks , 2001 .

[36]  Robert Sutton,et al.  Advances in Unmanned Marine Vehicles , 2006 .

[37]  Stefan B. Williams,et al.  Efficient View-Based SLAM Using Visual Loop Closures , 2008, IEEE Transactions on Robotics.

[38]  Oscar Schofield,et al.  Slocum Gliders – Advancing Oceanography , 2007 .

[39]  A. Belbachir A cooperative architecture for target localization using underwater vehicles , 2011 .

[40]  J. Feldman,et al.  DTNSRDC Revised Standarrd Submarine Equations of Motion , 1979 .

[41]  J.J. Leonard,et al.  A behavior-based approach to adaptive feature detection and following with autonomous underwater vehicles , 2000, IEEE Journal of Oceanic Engineering.

[42]  Thor I. Fossen,et al.  Guidance and control of ocean vehicles , 1994 .

[43]  Dana R. Yoerger,et al.  Comparative experiments in the dynamics and model-based control of marine thrusters , 1995, 'Challenges of Our Changing Global Environment'. Conference Proceedings. OCEANS '95 MTS/IEEE.