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Can I read Design of a Jumping Control Framework with Heuristic Landing for Bipedal Robots on EtoBox?

Design of a Jumping Control Framework with Heuristic Landing for Bipedal Robots by Zhang, Jingwen; Shen, Junjie; Liu, Yeting; Hong, Dennis W. is a scholarly article available to read on EtoBox.

What is Design of a Jumping Control Framework with Heuristic Landing for Bipedal Robots about?

Generating dynamic jumping motions on legged robots remains a challenging control problem as the full flight phase and large landing impact are expected. Compared to quadrupedal robots or other multi-legged robots, bipedal robots place higher requirements for the control strategy given a much smaller footprint. To solve this problem, a novel heuristic landing planner is proposed in this paper. With the momentum feedback during the flight phase, landing locations can be updated to minimize the influence of uncertainties from tracking errors or external disturbances when landing. To the best of our knowledge, this is the first approach to take advantage of the flight phase to reduce the impact of the jump landing which is implemented in the actual robot. By integrating it with a modified kino-dynamics motion planner with centroidal momentum and a low-level controller which explores the whole-body dynamics to hierarchically handle multiple tasks, a complete and versatile jumping control framework is designed in this paper. Extensive results of simulation and hardware jumping experiments on a miniature bipedal robot with proprioceptive actuation are provided to demonstrate that the pro

Author
Zhang, Jingwen; Shen, Junjie; Liu, Yeting; Hong, Dennis W.
Published
2023
Language
EN