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Model-Based Dynamic Self-Righting Maneuvers for a Hexapedal Robot
Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15223, USA
Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI 48109-2110, USA We report on the design and analysis of a controller that can achieve dynamical self-righting of our hexapedal robot, RHex. Motivated by the initial success of an empirically tuned controller, we present a feedback controller based on a saggital plane model of the robot. We also extend this controller to develop a hybrid pumping strategy that overcomes actuator torque limitations, resulting in robust flipping behavior over a wide range of surfaces. We present simulations and experiments to validate the model and characterize the performance of the new controller.
Key Words: legged robot model-based control contact modeling dynamic manipulation experimentation
The International Journal of Robotics Research, Vol. 23, No. 9,
903-918 (2004) This article has been cited by other articles:
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