Design and control of BRAVER: a bipedal robot actuated via proprioceptive electric motors

IF 3.7 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Autonomous Robots Pub Date : 2023-07-23 DOI:10.1007/s10514-023-10117-5
Zhengguo Zhu, Weiliang Zhu, Guoteng Zhang, Teng Chen, Yibin Li, Xuewen Rong, Rui Song, Daoling Qin, Qiang Hua, Shugen Ma
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引用次数: 1

Abstract

This paper presents the design and control of a high-speed running bipedal robot, BRAVER. The robot, which weighs 8.6 kg and is 0.36 m tall, has six active degrees, all of which are driven by custom back-driveable modular actuators, which enable high-bandwidth force control and proprioceptive torque feedback. We present the details of the hardware design, including the actuator, leg, foot, and onboard control systems, as well as the locomotion controller design for high dynamic tasks and improving robustness. We have demonstrated the performance of BRAVER using a series of experiments, including multi-terrains walking, up and down 15\(^{\circ }\) slopes, pushing recovery, and running. The maximum running speed of BRAVER reaches 1.75 m/s.

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本体感觉电机驱动的两足机器人BRAVER的设计与控制
本文介绍了一种高速奔跑双足机器人BRAVER的设计与控制。该机器人重8.6公斤,高0.36米,有6个主动度,全部由定制的可反向驱动的模块化致动器驱动,从而实现高带宽力控制和本体感觉扭矩反馈。我们介绍了硬件设计的细节,包括执行器、腿、脚和车载控制系统,以及高动态任务和提高鲁棒性的运动控制器设计。我们已经通过一系列实验证明了BRAVER的性能,包括多地形行走,上下15个\(^{\circ }\)斜坡,推动恢复和跑步。BRAVER的最大运行速度可达1.75 m/s。
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来源期刊
Autonomous Robots
Autonomous Robots 工程技术-机器人学
CiteScore
7.90
自引率
5.70%
发文量
46
审稿时长
3 months
期刊介绍: Autonomous Robots reports on the theory and applications of robotic systems capable of some degree of self-sufficiency. It features papers that include performance data on actual robots in the real world. Coverage includes: control of autonomous robots · real-time vision · autonomous wheeled and tracked vehicles · legged vehicles · computational architectures for autonomous systems · distributed architectures for learning, control and adaptation · studies of autonomous robot systems · sensor fusion · theory of autonomous systems · terrain mapping and recognition · self-calibration and self-repair for robots · self-reproducing intelligent structures · genetic algorithms as models for robot development. The focus is on the ability to move and be self-sufficient, not on whether the system is an imitation of biology. Of course, biological models for robotic systems are of major interest to the journal since living systems are prototypes for autonomous behavior.
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