Design and Control of a Miniature Bipedal Robot with Proprioceptive Actuation for Dynamic Behaviors

Yeting Liu, Junjie Shen, Jingwen Zhang, Xiaoguang Zhang, Taoyuanmin Zhu, D. Hong
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引用次数: 10

Abstract

As the study of humanoid robots becomes a world-wide interdisciplinary research field, the demand for a cost-effective bipedal robot system capable of dynamic behaviors is growing exponentially. This paper presents a miniature bipedal robot named Bipedal Robot Unit with Compliance Enhanced (BRUCE). Each leg of BRUCE has five degrees of freedom (DoFs), which includes a spherical hip joint, a knee joint, and an ankle joint. To lower the leg inertia, a cable-driven differential pulley system and a linkage mechanism are applied to the hip and ankle joints, respectively. With the proposed design, BRUCE is able to achieve a similar range of motion to a human's lower body. The proprioceptive actuation and contact sensing further prepare BRUCE for interactions with unstructured environments. For real-time control of dynamic motions, a convex formulation for model hierarchy predictive control (MHPC) is introduced. MHPC plans with whole-body dynamics in the near horizon and simplified dynamics in the long horizon to benefit from both model accuracy and computational efficiency. A series of experiments were conducted to evaluate the overall system performance including hip joint analysis, walking, push recovery, and vertical jumping.
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具有本体感觉驱动的微型两足机器人动态行为的设计与控制
随着仿人机器人的研究成为一个全球性的跨学科研究领域,对具有动态行为能力的高性价比双足机器人系统的需求呈指数级增长。本文提出了一种微型双足机器人,称为增强顺应性双足机器人单元(BRUCE)。布鲁斯的每条腿都有五个自由度,包括一个球形髋关节、一个膝关节和一个踝关节。为了降低腿部的惯性,一个缆索驱动的差动滑轮系统和一个连杆机构分别应用于髋关节和踝关节。根据拟议的设计,布鲁斯能够实现与人类下半身相似的运动范围。本体感觉驱动和接触感应进一步为BRUCE与非结构化环境的互动做好了准备。为了实现动态运动的实时控制,提出了一种模型层次预测控制(MHPC)的凸表达式。MHPC计划在近视界采用全身动力学,在长视界采用简化动力学,从而受益于模型精度和计算效率。我们进行了一系列的实验来评估整个系统的性能,包括髋关节分析、行走、推动恢复和垂直跳跃。
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