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arXiv 2304.00536cs.RO
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带启发式着陆的双足机器人跳跃控制框架设计

Design of a Jumping Control Framework with Heuristic Landing for Bipedal Robots

University of California, Los Angeles(加州大学洛杉矶分校)

Jingwen Zhang, Junjie Shen, Yeting Liu, Dennis W. Hong

AI总结:

本文提出一种带启发式着陆的双足机器人跳跃控制框架,利用腾空阶段动量反馈更新着陆位置以减少冲击,结合改进运动学-动力学规划器与全身动力学低级控制器,实现高效鲁棒的多类跳跃任务。

摘要:

在足式机器人上生成动态跳跃运动仍然是一个具有挑战性的控制问题,因为需要应对完整的腾空阶段和巨大的着陆冲击。与四足机器人或其他多足机器人相比,双足机器人由于立足点小得多,对控制策略的要求更高。为了解决这个问题,本文提出了一种新颖的启发式着陆规划器。利用腾空阶段的动量反馈,着陆位置可以被更新,以最大程度减少着陆时由跟踪误差或外部干扰带来的不确定性影响。据我们所知,这是第一种利用腾空阶段来减少跳跃着陆冲击的方法,并在实际机器人上进行了实现。通过将其与一个包含质心动量的改进型运动学-动力学运动规划器,以及一个探索全身动力学以分层处理多个任务的低级控制器相结合,本文设计了一个完整且通用的跳跃控制框架。在一个具有本体感知驱动的微型双足机器人上进行的广泛仿真和硬件跳跃实验结果证明,所提出的框架能够实现类似人类的高效、鲁棒的跳跃任务,包括定向跳、转体跳、台阶跳和空翻。

英文摘要:

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 proposed framework is able to achieve human-like efficient and robust jumping tasks, including directional jump, twisting jump, step jump, and somersaults.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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