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Fast Trajectory Optimization for Legged Robots Using Vertex-Based ZMP Constraints | IEEE Journals & Magazine | IEEE Xplore

Fast Trajectory Optimization for Legged Robots Using Vertex-Based ZMP Constraints


Abstract:

This letter combines the fast zero-moment-point approaches that work well in practice with the broader range of capabilities of a trajectory optimization formulation, by ...Show More

Abstract:

This letter combines the fast zero-moment-point approaches that work well in practice with the broader range of capabilities of a trajectory optimization formulation, by optimizing over body motion, footholds, and center of pressure simultaneously. We introduce a vertex-based representation of the support-area constraint, which can treat arbitrarily oriented point-, line-, and area-contacts uniformly. This generalization allows us to create motions, such as quadrupedal walking, trotting, bounding, pacing, combinations, and transitions between these, limping, bipedal walking, and push recovery all with the same approach. This formulation constitutes a minimal representation of the physical laws (unilateral contact forces) and kinematic restrictions (range of motion) in legged locomotion, which allows us to generate diverse motions in less than a second. We demonstrate the feasibility of the generated motions on a real quadruped robot.
Published in: IEEE Robotics and Automation Letters ( Volume: 2, Issue: 4, October 2017)
Page(s): 2201 - 2208
Date of Publication: 06 July 2017

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