arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2001.00728cs.ROcs.HC
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Gait Graph Optimization: Generate Variable Gaits from One Base Gait for Lower-limb Rehabilitation Exoskeleton Robots

Beihang University(北京航空航天大学);Northwestern Polytechnical University(西北工业大学)

Lei Zhang, Weihai Chen, Yuan Chai, Jianhua Wang, Jianbin Zhang

英文摘要:

The most concentrated application of lower-limb rehabilitation exoskeleton (LLE) robot is that it can help paraplegics "re-walk". However, "walking" in daily life is more than just walking on flat ground with fixed gait. This paper focuses on variable gaits generation for LLE robot to adapt complex walking environment. Different from traditional gaits generator for biped robot, the generated gaits for LLEs should be comfortable to patients. Inspired by the pose graph optimization algorithm in SLAM, we propose a graph-based gait generation algorithm called gait graph optimization (GGO) to generate variable, functional and comfortable gaits from one base gait collected from healthy individuals to adapt the walking environment. Variants of walking problem, e.g., stride adjustment, obstacle avoidance, and stair ascent and descent, help verify the proposed approach in simulation and experimentation. We open source our implementation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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