A heuristic control framework for heavy-duty hexapod robot over complex terrain

IF 1.5 Q3 AUTOMATION & CONTROL SYSTEMS IET Cybersystems and Robotics Pub Date : 2022-09-21 DOI:10.1049/csy2.12064
Jinmian Hou, Hui Chai, Yibin Li, Yaxian Xin, Wei Chen
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Abstract

The large and heavy-duty hexapod robot has strong motion stability and load capacity, which promises to have a wide range of application prospects in rescue and disaster relief. Multi-mode gait and static stability during walking make the hexapod robot adapt to more diverse terrains, while little research has been conducted on the motion control methods of heavy-duty hexapod robots in complex environments. A novel heuristic whole-body motion control framework for the heavy-duty hexapod robot to traverse complex terrain is presented. By splitting the legged locomotion into a single task, the whole-body motion could be planned in a reasonable time. The terrain adaptation strategy is designed to improve the complex terrain passability. Ground reaction forces are then optimised based on single rigid-body dynamics with heuristics. This framework utilised simple but powerful heuristics to approximate complex dynamics and allows for a single set of parameters for all task conditions. Simulation results demonstrate the robustness and adaptability of the proposed framework.

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复杂地形下重型六足机器人的启发式控制框架
大型重型六足机器人具有较强的运动稳定性和承载能力,在抢险救灾中具有广泛的应用前景。多模式步态和行走时的静态稳定性使六足机器人能够适应更多样化的地形,而重载六足机器人在复杂环境下的运动控制方法研究较少。提出了一种重载六足机器人穿越复杂地形的启发式全身运动控制框架。通过将腿部运动拆分为单个任务,可以在合理的时间内规划全身运动。为提高复杂地形的通过性,设计了地形适应策略。然后基于单刚体动力学启发式优化地面反作用力。该框架利用简单但功能强大的启发式方法来近似复杂的动态,并允许对所有任务条件使用一组参数。仿真结果证明了该框架的鲁棒性和适应性。
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来源期刊
IET Cybersystems and Robotics
IET Cybersystems and Robotics Computer Science-Information Systems
CiteScore
3.70
自引率
0.00%
发文量
31
审稿时长
34 weeks
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