基于传感器集成的eha驱动人形九头蛇全身柔顺运动

Tianyi Ko, Kazuya Murotani, Ko Yamamoto, Yoshihiko Nakamura
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引用次数: 5

摘要

除了高扭矩和快速响应特性外,机器人还需要关节的反驾驶性。电-静液致动器是实现力敏感机器人的一种方法。为了实验验证EHAs驱动的两足机器人的性能,我们开发了全电静压驱动的人形机器人Hydra。在本文中,我们评估了通过高速通信总线将编码器、压力传感器和IMU集成到分布式全身控制系统中所实现的全身控制性能。我们报告了第一个由eha驱动的机器人在位置控制和扭矩控制两种方法下的双足运动的例子。该机器人可以在地面条件剧烈变化的情况下保持平衡,并利用关节的高反驱动性通过零空间柔度吸收扰动。我们还报告了在实际硬件中实现兼容控制的实际挑战,这些控制在参数精度、扭矩和响应方面受到限制。实验证明,通过将操作空间反馈增益映射到关节空间增益,对操作空间任务进行间接反馈的分辨粘弹性控制(RVC)可以有效地调整适当的增益以稳定质心运动,同时避免控制带宽限制引起的关节级振荡。所附的多媒体文件包括本文中所有实验的视频。
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Whole-Body Compliant Motion by Sensor Integration of an EHA-Driven Humanoid Hydra
Joints’ backdrivability is desired for robots that perform tasks contacting the environment, in addition to the high torque and fast response property. The electro-hydrostatic actuator (EHA) is an approach to realize force-sensitive robots. To experimentally confirm the performance of a biped robot driven by EHAs, we developed the fully electro-hydrostatically driven humanoid robot Hydra. In this paper, we evaluate the whole-body control performance realized by integrating encoders, pressure sensors, and IMU through a high-speed communication bus to the distributed whole-body control system. We report the first example of bipedal locomotion by an EHA-driven robot in both position-controlled and torque-controlled approaches. The robot could keep the balance even when the ground condition was changing impulsively and utilize its high joint backdrivability to absorb a disturbance by the null space compliance. We also report practical challenges in implementing compliant control in real hardware with limitations in parameter accuracy, torque, and response. We experimentally confirmed that the resolved viscoelasticity control (RVC), which has indirect feedback of operational space tasks by projecting the operational space feedback gain to the joint space one, was effective to tune a proper gain to stabilize the center-of-mass motion while avoiding joint-level oscillation invoked by the control bandwidth limitation. The attached multimedia file includes the video of all experiments presented in the paper.
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