Completely Derandomized Self-Adaptation in Evolution Strategies
Evolutionary Computation
TRESSA: Teamed robots for exploration and science on steep areas: Field Reports
Journal of Field Robotics - Special Issue on Teamwork in Field Robotics
Robot design for space missions using evolutionary computation
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
CESAR: a lunar crater exploration and sample return robot
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
LUNARES: lunar crater exploration with heterogeneous multi robot systems
Intelligent Service Robotics
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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.)