Facilitating multi-AUV collaboration for marine archaeology

Autonomous Underwater Vehicles (AUVs) have been widely used in assisting scientific operations. They can increase the scientific output by performing operations in a cost effective and safe manner. This paper focuses in the underwater archaeology scientific discipline. It presents the distributed high level architecture developed by the Heriot Watt University Ocean Systems Laboratory (HWUOSL) in the scope of the ARROWS project. This architecture utilises a distributed world model operating over an acoustic communications channel for achieving the coordination of a heterogeneous team of robots. Simulation results are presented showing the efficiency of the distributed world model architecture and the coordination performance.

[1]  Manuela M. Veloso,et al.  A real-time world model for multi-robot teams with high-latency communication , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[2]  Alessandro Saffiotti,et al.  Robot task planning using semantic maps , 2008, Robotics Auton. Syst..

[3]  Kenneth Baclawski,et al.  A core ontology for situation awareness , 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

[4]  Georgios Papadimitriou,et al.  Semantic based knowledge representation and adaptive mission planning for MCM missions using AUVs , 2014, OCEANS 2014 - TAIPEI.

[5]  Peter I. Corke,et al.  Data collection, storage, and retrieval with an underwater sensor network , 2005, SenSys '05.

[6]  J. Gomes,et al.  Robotic ocean vehicles for marine science applications: the European ASIMOV project , 2000, OCEANS 2000 MTS/IEEE Conference and Exhibition. Conference Proceedings (Cat. No.00CH37158).

[7]  Joel Cartwright,et al.  TDMA-based exchange policies for multi-robot communication of world information , 2012 .

[8]  L. Freitag,et al.  A Shallow Water Acoustic Network for Mine Countermeasures Operations with Autonomous Underwater Vehicles , 2005 .

[9]  Georgios Papadimitriou,et al.  Efficient multi-AUV cooperation using semantic knowledge representation for underwater archaeology missions , 2014, 2014 Oceans - St. John's.

[10]  Manoj Kumar Tiwari,et al.  Balancing task allocation in multi-robot systems using K-means clustering and auction based mechanisms , 2011, Expert Syst. Appl..

[11]  C. Roman,et al.  Imaging Coral I: Imaging Coral Habitats with the SeaBED AUV , 2004 .

[12]  Francesco Maurelli,et al.  Facilitating cooperative AUV missions: experimental results with an acoustic knowledge-sharing framework , 2013, 2013 OCEANS - San Diego.

[13]  Andrew Coles,et al.  Forward-Chaining Partial-Order Planning , 2010, ICAPS.

[14]  Emilio Miguelanez,et al.  Semantic Knowledge-Based Framework to Improve the Situation Awareness of Autonomous Underwater Vehicles , 2011, IEEE Transactions on Knowledge and Data Engineering.