Machines That Walk: The Adaptive Suspension Vehicle
Machines That Walk: The Adaptive Suspension Vehicle
Learning locomotion over rough terrain using terrain templates
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Compliant quadruped locomotion over rough terrain
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Generating continuous free crab gaits for quadruped robots on irregular terrain
IEEE Transactions on Robotics
Improving traversability of quadruped walking robots using body movement in 3D rough terrains
Robotics and Autonomous Systems
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We discuss the main issues and challenges with quadrupedal locomotion over rough terrain in the context of the Defense Advanced Research Projects Agencyâ聙聶s Learning Locomotion program. We present our controller for the LittleDog platform, which allows for continuous transition between a static crawl gait and a dynamic trot gait depending on the roughness of the terrain. We provide detailed descriptions for some of our key algorithm components, such as a fast footstep planner for rough terrain, a body pose finder for a given support polygon, and a new type of parameterized gait. We present the results of our algorithm, which proved successful in the program, crossing all 10 terrain boards on the final test at an average speed of 11.2 cm/s. We conclude with a discussion on the applicability of this work for platforms other than LittleDog and in environments other than the Learning Locomotion designed tests.