Whole-Body Synergy-Based Balance Control for Quadruped Robots with Manipulators on Sloped Terrains.

IF 10.5 Q1 ENGINEERING, BIOMEDICAL
Cyborg and bionic systems (Washington, D.C.) Pub Date : 2024-12-27 eCollection Date: 2024-01-01 DOI:10.34133/cbsystems.0201
Ru Kang, Huifeng Ning, Fei Meng, Zewen He
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Abstract

A quadruped robot with a manipulator that combines dynamic motion and manipulation capabilities will greatly expand its application scenarios. However, the addition of the manipulator raises the center of mass of the quadruped robot, increasing complexity in motion control and posing new challenges for maintaining balance on sloped terrains. To address this, a balance control method based on whole-body synergy is proposed in this study, emphasizing adaptive adjustment of the robot system's overall balance through effective utilization of the manipulator's active motion. By establishing a mapping relationship between the manipulator and the robot's attitude angle under system equilibrium, the desired manipulator motion is guided by real-time estimates of terrain angles during motion, enhancing motion efficiency while ensuring robot balance. Furthermore, to enhance motion tracking accuracy, the optimization of system angular momentum and manipulator manipulability is incorporated into hierarchical optimization tasks, improving manipulator controllability and overall system performance. Simulation and experimental results demonstrate that the quadruped robot with a manipulator exhibits reduced velocity and attitude angle fluctuations, as well as smoother foot-end force dynamics during climbing motions with the addition of manipulator adaptive adjustment. These results validate the effectiveness and superiority of the manipulator-based adaptive adjustment strategy proposed in this paper.

斜坡上四足机器人的全身协同平衡控制。
四足机器人具有动态运动和操纵能力相结合的机械臂,将大大扩展其应用场景。然而,机械手的加入提高了四足机器人的重心,增加了运动控制的复杂性,并对在倾斜地形上保持平衡提出了新的挑战。为此,本研究提出了一种基于全身协同的平衡控制方法,强调通过有效利用机械手的主动运动,对机器人系统的整体平衡进行自适应调节。在系统平衡状态下,通过建立机械手与机器人姿态角的映射关系,通过对运动过程中地形角的实时估计来指导机械手的运动,在保证机器人平衡的同时提高了运动效率。此外,为了提高运动跟踪精度,将系统角动量和机械手可操纵性的优化纳入分层优化任务,提高机械手的可控性和整体系统性能。仿真和实验结果表明,在增加机械手自适应调节后,四足机器人在爬坡运动中速度和姿态角波动减小,足端力动力学更平滑。这些结果验证了本文提出的基于机械手的自适应调整策略的有效性和优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
21 weeks
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