Enhancing jumping robot performance through arm swing mechanisms

IF 0.8 Q4 ROBOTICS
Cong Yan, Hinata Kato, Hiroto Ikeda, Yanqiu Zheng, Fumihiko Asano, Isao Tokuda
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引用次数: 0

Abstract

This paper investigates the contribution of arm swing mechanisms to jumping robot performance through mathematical modeling, numerical simulation, and experimental validation. While extensive research has demonstrated the significance of arm swing in human and animal jumping biomechanics, this feature remains underutilized in robotic systems. We address three key questions: how coordinated arm swing affects horizontal jumping distance, what optimal arm swing parameters maximize performance, and how these parameters interact with other jumping variables. Our mathematical model incorporating arm dynamics reveals that optimized arm swing can enhance horizontal jumping distance by up to 35% compared to restricted arm configurations. Parametric analysis identifies optimal ranges for key variables: initial body angles of 0.3–0.65 rad, shorter arm swing durations, and specific arm swing amplitudes that do not necessarily correspond to maximum possible ranges. Experimental validation with our physical prototype achieved a 10% improvement in jumping distance, demonstrating the practical feasibility of this approach despite real-world constraints. These findings advance our understanding of arm-assisted jumping mechanisms and establish design principles for developing legged robots with extended mobility in critical environments.

通过手臂摆动机制提高跳跃机器人的性能
本文通过数学建模、数值模拟和实验验证来研究手臂摆动机构对跳跃机器人性能的贡献。虽然广泛的研究已经证明了手臂摆动在人类和动物跳跃生物力学中的重要性,但这一特征在机器人系统中仍未得到充分利用。我们解决了三个关键问题:协调的手臂摆动如何影响水平跳跃距离,最佳的手臂摆动参数如何最大化性能,以及这些参数如何与其他跳跃变量相互作用。我们结合手臂动力学的数学模型显示,与受限的手臂配置相比,优化的手臂摆动可以将水平跳跃距离提高35%。参数分析确定了关键变量的最佳范围:0.3-0.65 rad的初始身体角度,较短的手臂摆动持续时间,以及不一定对应于最大可能范围的特定手臂摆动幅度。物理样机的实验验证使跳跃距离提高了10%,证明了这种方法在现实世界的限制下是可行的。这些发现促进了我们对手臂辅助跳跃机制的理解,并为开发在关键环境中具有扩展机动性的有腿机器人建立了设计原则。
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
2.00
自引率
22.20%
发文量
101
期刊介绍: Artificial Life and Robotics is an international journal publishing original technical papers and authoritative state-of-the-art reviews on the development of new technologies concerning artificial life and robotics, especially computer-based simulation and hardware for the twenty-first century. This journal covers a broad multidisciplinary field, including areas such as artificial brain research, artificial intelligence, artificial life, artificial living, artificial mind research, brain science, chaos, cognitive science, complexity, computer graphics, evolutionary computations, fuzzy control, genetic algorithms, innovative computations, intelligent control and modelling, micromachines, micro-robot world cup soccer tournament, mobile vehicles, neural networks, neurocomputers, neurocomputing technologies and applications, robotics, robus virtual engineering, and virtual reality. Hardware-oriented submissions are particularly welcome. Publishing body: International Symposium on Artificial Life and RoboticsEditor-in-Chiei: Hiroshi Tanaka Hatanaka R Apartment 101, Hatanaka 8-7A, Ooaza-Hatanaka, Oita city, Oita, Japan 870-0856 ©International Symposium on Artificial Life and Robotics
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