Control of a robotic swarm for the elimination of marine oil pollutions

This paper presents the concept as well as first results of the EU-MOP ("elimination units for marine oil pollutions") project. The basic idea of this project is a swarm out of autonomous marine robots which are able to recover oil with the help of oil skimmers. In order to achieve a flexible and robust system, the swarm intelligence (SI) approach has been used as control paradigm for the EU-MOP robots. Within the SI approach interaction between the robots plays an important role for the performance of the whole multi robot system. Thus, three control approaches, all basing on SI, but with different levels of interaction, have been developed. Furthermore a method for the evaluation of swarms in comparison to single robot systems will be presented

[1]  Maja J. Matarić,et al.  Cognitive Processing through the Interaction of Many Agents , 2006 .

[2]  Craig W. Reynolds Flocks, herds, and schools: a distributed behavioral model , 1987, SIGGRAPH.

[3]  David McFarland,et al.  Animal Behaviour Psychobiology, Ethology, and Evolution , 1985 .

[4]  Mauro Birattari,et al.  Swarm Intelligence , 2012, Lecture Notes in Computer Science.

[5]  H. Haken,et al.  Entstehung von biologischer Information und Ordnung , 1995 .

[6]  Barbara Webb,et al.  Swarm Intelligence: From Natural to Artificial Systems , 2002, Connect. Sci..

[7]  Xavier Ferrer,et al.  European Atlantic: the hottest oil spill hotspot worldwide , 2004, Naturwissenschaften.

[8]  Pierre-P. Grassé,et al.  Foundation des sociétés, construction , 1984 .

[9]  Susan Hackwood,et al.  Self-organization of sensors for swarm intelligence , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[10]  P.-P. Grasse La reconstruction du nid et les coordinations interindividuelles chezBellicositermes natalensis etCubitermes sp. la théorie de la stigmergie: Essai d'interprétation du comportement des termites constructeurs , 1959, Insectes Sociaux.

[11]  Fumihito Arai,et al.  Evaluation on flexibility of swarm intelligent system , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[12]  Andrew B. Kahng,et al.  Cooperative Mobile Robotics: Antecedents and Directions , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

[13]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[14]  G. Beni,et al.  The concept of cellular robotic system , 1988, Proceedings IEEE International Symposium on Intelligent Control 1988.

[15]  Jing Wang,et al.  Swarm Intelligence in Cellular Robotic Systems , 1993 .

[16]  Chris Melhuish,et al.  Stigmergy, Self-Organization, and Sorting in Collective Robotics , 1999, Artificial Life.

[17]  Gaurav S. Sukhatme,et al.  Multi-Robot Task Allocation in Uncertain Environments , 2003, Auton. Robots.

[18]  Ronald C. Arkin,et al.  An Behavior-based Robotics , 1998 .

[19]  Nikolaos P. Ventikos,et al.  An Intelligent Robot System to Respond to Oil Spills: the EU-MOP Project , 2006 .

[20]  Paul S. Schenker,et al.  Robot work crews for planetary outposts: close cooperation and coordination of multiple mobile robots , 2000, SPIE Optics East.

[21]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.