The Crawling Robot

On the laboratory carpet:


On a foam mat:


On a desk:


On a wet desk with slippery surface:


On a linoleum surface:


The Crawling Robot Software (OpenSource GPL)

 

Obtaining the Crawling Robot

If you are interessted in buying the crawling robot, please contact either Prof. Dr. Wolfgang Ertel or Michel Tokic or Joachim Fessler.

Relevant Literature

  • M. Tokic and H. Bou Ammar.
    Teaching reinforcement learning using a physical robot.
    In Proceedings of the Workshop on Teaching Machine Learning at
    the 29th International Conference on Machine Learning
    , Edinburgh, UK,
    2012.
    (to appear).
  • W. Ertel. Introduction to Artificial Intelligence. Springer London, 2011.
  • S. Montresor, J. Kay, M. Tokic, and J. Summerton.
    Work in progress: Programming in a confined space – a case study in
    porting modern robot software to an antique platform.
    In Proceedings of the 41st ASEE/IEEE Frontiers in Education
    Conference
    , pages T3H-1-T3H-3, Rapid City, SD, USA, 2011. IEEE
    Press.
  • M. Tokic, A. Usadel, J. Fessler, and W. Ertel.
    On an educational approach to behavior learning for robots.
    In Proceedings of the 1st International Conference on Robotics
    in Education
    , pages 171-176, Bratislava, Slovak Republic, 2010. Slovak
    University of Technology in Bratislava.
  • M. Tokic, J. Fessler, and W. Ertel.
    The crawler, a class room demonstrator for reinforcement learning.
    In C. Lane and H. Guesgen, editors, Proceedings of the 22th
    International Florida Artificial Intelligence Research Society Conference
    FLAIRS’09
    , pages 160-165, Menlo Park, California, USA, 2009. AAAI
    Press.
  • W. Ertel, M. Schneider, R. Cubek, and M. Tokic.
    The Teaching-Box: a universal robot learning framework.
    In Proceedings of the 14th International Conference on Advanced
    Robotics ICAR’09.
    , pages 1-6, 2009.
  • H. Kimura, K. Miyazaki, and S. Kobayashi.
    Reinforcement learning in POMDPs with function approximation.
    In Proceedings of the 14th International Conference on Machine
    Learning (ICML’97)
    , pages 152-160, San Francisco, CA, USA, 1997.
    Morgan Kaufmann Publishers Inc.