Development of the six-legged walking and climbing robot SpaceClimber

  • Authors:
  • Sebastian Bartsch;Timo Birnschein;Malte Römmermann;Jens Hilljegerdes;Daniel Kühn;Frank Kirchner

  • Affiliations:
  • German Research Center for Artificial Intelligence, Robotics Innovation Center, Robert-Hooke-Str. 5, 28359 Bremen, Germany;German Research Center for Artificial Intelligence, Robotics Innovation Center, Robert-Hooke-Str. 5, 28359 Bremen, Germany;German Research Center for Artificial Intelligence, Robotics Innovation Center, Robert-Hooke-Str. 5, 28359 Bremen, Germany;German Research Center for Artificial Intelligence, Robotics Innovation Center, Robert-Hooke-Str. 5, 28359 Bremen, Germany;German Research Center for Artificial Intelligence, Robotics Innovation Center, Robert-Hooke-Str. 5, 28359 Bremen, Germany;German Research Center for Artificial Intelligence, Robotics Innovation Center, and Department for Mathematics and Computer Science, University of Bremen, Robert-Hooke-Str. 5, 28359 Bremen, German ...

  • Venue:
  • Journal of Field Robotics
  • Year:
  • 2012

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Abstract

In this article, we present SpaceClimber,1 a six-legged, bio-inspired, energy-efficient and adaptable free-climbing robot for mobility on steep gradients. The long-term stool is to provide a system for extraterrestrial surface exploration missions, paying special attention to mobility in lunar craters to retrieve or analyze scientific samples from the interior of these craters. We present an envisaged mission for SpaceClimber and summarize the deriving system requirements. The robot's morphology determination procedure is depicted, considering the predefined demands and utilizing a simulation environment in combination with evolutionary optimization strategies, followed by a detailed description of the system's hardware design. The theoretical concept for the control of such machines with an extensive sensory–motor configuration is explained, as well as the implemented locomotion control approach and attempts to optimize the behavior of the robot using machine learning techniques. In addition, the experimental plant that was built for testing and evaluating the performance of the developed system in an environment as realistic as possible is introduced, followed by a description of the experiments performed. Concluding, we summarize the results and experiences and give an outlook on further developments. © 2012 Wiley Periodicals, Inc. (Web page: http://wwww.dfki.de/robotik.)