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Minnesota Distributed Autonomous Robotics Team

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MinDART Papers:
  • Paul Rybski, Amy Larson, Harini Veeraraghavan, Monica LaPoint, and Maria Gini "Performance Evaluation of a Multi-Robot Search & Retrieval System: Experiences with MinDART", Int'l Journal of Intelligent and Robotic Systems, 52(3-4):363–387, 2008.

    This is the most comprehensive paper on the MinDART project. It is a revision of an older Technical Report 03-011, Department of Computer Science and Engineering, University of Minnesota, MN, February 2003.
    The paper describes the MinDART hardware, and present results of experiments with the MinDART robots. The first set of experiments tested efficacy of localization capabilities, effects of team size and of target distribution. The second set tested the efficacy of simple communication. We found that more complex control strategies do not necessarily improve task completion times, but can reduce variance in performance measures.

  • Paul E. Rybski, Amy Larson, Harini Veeraraghavan, Monica LaPoint, and Maria Gini, Communication strategies in Multi-Robot Search and Retrieval: Experiences with MinDART", DARS 2004, Toulouse, France, June 2004.

    The paper explores the effects of different simple communications strategies on performance of robot teams doing foraging.

  • Paul Rybski, Amy Larson, Anne Schoolcraft, Sarah Osentoski, and Maria Gini "Evaluation of Control Strategies for Multi-Robot Search and Retrieval", in Int'l Conf on Intelligent Autonomous Systems (IAS-7), pp 281-288, Marina del Rey, CA, March 2002.

    The paper analyzes how the team's performance is affected by the target distribution (uniform or clumped), the size of the team (1, 2, or 4 robots), and whether search with explicit localization improves task completion time over random search.

  • Paul Rybski, Amy Larson, Michael Lindahl, and Maria Gini "Performance Evaluation of Multiple Robots in a Search and Retrieval Task", in Workshop on Artificial Intelligence and Manufacturing: State of the Art and State of Practice, Albuquerque, NM, August 1998.

    This is earlier work. We show how the performance is affected by the number of robots, the distribution of the targets the robots are searching for, and the complexity of the environment.

Handy Board:

handyboard.com (link )

Lugnet Handy Board Discussion Group ( link )


Sharp GP2D12 Infrared Ranger ( html )

Interactive C Users' Guide ( html )

Interactive C Manual for the HandyBoard, Fred Martin ( html )

Handy Board Software Resources ( html )

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