Social Target Localization in a Population of Foragers

Foraging has been identified as a benchmark for collective robotics. It consists on exploring an area and gathering prespecified objects from the environment. In addition to efficiently exploring an area, foragers have to be able to find special targets which are common to the whole population. This work proposes a method to cooperatively perform this particular task. Instead of using local or global localization strategies which can rely on the infrastructure installed in the environment, the proposed approach takes advantage of the knowledge gathered by the population about the localization of the targets. Robots communicate in an instrinsic way the estimation about how near they are from a target, and these estimations guide the navigation of the whole population when looking for these specific areas. The results comprehend some tests assessing the performance, robustness, and scalability of the approach. The proposed approach efficiently guides the robots towards the prespecified targets while allowing the modulation of their speed.

[1]  John Maynard Smith,et al.  The Origins of Life: From the Birth of Life to the Origin of Language , 1999 .

[2]  Karl Crailsheim,et al.  Protein trophallaxis and the regulation of pollen foraging by honey bees (Apis mellifera L.) , 1998 .

[3]  Guy Theraulaz,et al.  Self-Organization in Biological Systems , 2001, Princeton studies in complexity.

[4]  Christoph Rehmann-Sutter.  John Mayard Smith & Eörs Szathmáry. 1999. The Origins of Life: From the Birth of Life to the Origin of Language , 2000 .

[5]  Alan F. T. Winfield,et al.  Towards an Engineering Science of Robot Foraging , 2008, DARS.

[6]  Marco Dorigo,et al.  Group Transport Along a Robot Chain in a Self-Organised Robot Colony , 2006, IAS.

[7]  George N. Reeke,et al.  BOOK REVIEW: "SELF-ORGANIZATION IN BIOLOGICAL SYSTEMS" BY S. CAMAZINE, J. DENEUBOURG, N. R. FRANKS, J. SNEYD, G. THERAULAZ AND E. BONABEAU , 2002 .

[8]  Luca Maria Gambardella,et al.  Collaboration Through the Exploitation of Local Interactions in Autonomous Collective Robotics: The Stick Pulling Experiment , 2001, Auton. Robots.

[9]  J. Deneubourg,et al.  Collective patterns and decision-making , 1989 .

[10]  George A. Bekey,et al.  AUTONOMOUS ROBOTS, From Biological Inspiration to Implementation and Control, by G.A. Bekey, MIT Press, 2005, xv + 577 pp., index, ISBN 0-262-02578-7, 25 pages of references (Hb. £35.95) , 2005, Robotica.

[11]  Raghavendra Gadagkar,et al.  Survival Strategies: Cooperation and Conflict in Animal Societies , 1997 .

[12]  Jukka Riekki,et al.  Vision-based behaviors for multi-robot cooperation , 1994, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94).

[13]  Tucker R. Balch,et al.  Communication in reactive multiagent robotic systems , 1995, Auton. Robots.

[14]  Pattie Maes,et al.  Robotic “Food” Chains: Externalization of State and Program for Minimal-Agent Foraging , 1996 .

[15]  Ronald C. Arkin,et al.  Cooperation without communication: Multiagent schema-based robot navigation , 1992, J. Field Robotics.

[16]  Dimitrios Lambrinos,et al.  Insect Strategies of Visual Homing in Mobile Robots , 1998 .

[17]  Masaru Ishii,et al.  Cooperation by observation: the framework and basic task patterns , 1994, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[18]  Ronald C. Arkin,et al.  Robot Colonies , 1997, Springer US.

[19]  V. Braitenberg.  Vehicles, Experiments in Synthetic Psychology , 1984 .

[20]  Barbara Webb,et al.  Biorobotics: Methods and Applications , 2002 .