麻省理工学院人形机器人:设计、运动规划和杂技行为控制

Matthew Chignoli, Donghyun Kim, Elijah Stanger-Jones, Sangbae Kim
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引用次数: 62

摘要

演示类人机器人的杂技行为,如翻转和旋转跳跃,需要跨越硬件设计、运动规划和控制的系统方法。在本文中,我们提出了一种新的仿人机器人的设计,一个驱动器感知的运动规划器和一个着陆控制器,作为仿人机器人高动态运动控制的实际系统设计的一部分。为了实现脉冲运动,我们开发了两种新的本体感觉驱动器。执行器的扭矩、速度和功率限制通过接近构型相关的反作用力限制反映在我们的kino-dynamic运动规划器中。在着陆控制方面,我们将模型预测控制和全身脉冲控制以动态一致的方式连接起来,有效地将两者结合起来,既实现了长时间水平最优控制,又实现了高带宽的全身动态反馈。通过精心设计的硬件和控制框架,我们成功地在现实动力学仿真中演示了后空翻,前空翻和旋转跳跃等动态行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The MIT Humanoid Robot: Design, Motion Planning, and Control For Acrobatic Behaviors
Demonstrating acrobatic behavior of a humanoid robot such as flips and spinning jumps requires systematic approaches across hardware design, motion planning, and control. In this paper, we present a new humanoid robot design, an actuator-aware kino-dynamic motion planner, and a landing controller as part of a practical system design for highly dynamic motion control of the humanoid robot. To achieve the impulsive motions, we develop two new proprioceptive actuators. The actuator’s torque, velocity, and power limits are reflected in our kino-dynamic motion planner by approximating the configuration-dependent reaction force limits. For the landing control, we effectively integrate model-predictive control and whole-body impulse control by connecting them in a dynamically consistent way to accomplish both the long-time horizon optimal control and high-bandwidth full-body dynamics-based feedback. With the carefully designed hardware and control framework, we successfully demonstrate dynamic behaviors such as back flips, front flips, and spinning jumps in our realistic dynamics simulation.
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