Motion planning and contact force distribution for heavy-duty hexapod robots walking on unknown rugged terrains

IF 4.2 2区 计算机科学 Q2 ROBOTICS
Liang Ding, Xiao Gong, Lei Hu, Guanyu Wang, Zhongxi Shao, Huaiguang Yang, Haibo Gao, Zongquan Deng
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引用次数: 0

Abstract

Heavy-duty hexapod robots have impressive stability, high load-bearing capacity, and exceptional adaptability to rugged terrains. They are capable of working in challenging outdoor environments such as planetary exploration, disaster relief and mountain transportation. Their ability to traverse terrain requires effective motion planning and accurate force distribution, neither of which is currently at the level required for widespread practical applications. In this paper, the mechanical legs are divided into support and swing legs, and the adaptability of the hexapod robot to unknown rugged terrain is enhanced by introducing the Decomposition Quadratic Programming-based Contact Force Distribution (DQP-based CFD) method. Moreover, an efficient replanning strategy can handle accidental collisions between swinging legs and unmodelled obstacles. Extensive field experiments demonstrate the effectiveness of our proposed motion planning and contact force distribution methods.

在未知崎岖地形上行走的重型六足机器人的运动规划和接触力分布
重型六足机器人具有出色的稳定性、高承载能力和对崎岖地形的超强适应能力。它们能够在具有挑战性的户外环境中工作,如行星探索、救灾和山区运输。它们穿越地形的能力需要有效的运动规划和精确的力分配,而这两点目前都没有达到广泛实际应用所需的水平。本文将机械腿分为支撑腿和摆动腿,通过引入基于分解二次编程的接触力分布(DQP-based CFD)方法,增强了六足机器人对未知崎岖地形的适应性。此外,高效的重新规划策略还能处理摆动腿与未建模障碍物之间的意外碰撞。广泛的现场实验证明了我们提出的运动规划和接触力分布方法的有效性。
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
Journal of Field Robotics
Journal of Field Robotics 工程技术-机器人学
CiteScore
15.00
自引率
3.60%
发文量
80
审稿时长
6 months
期刊介绍: The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.
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