Load Gradient Model in Foot Soles for Non-Parallel Shuffling Humanoid Walk

M. Koeda, Daiki Sugimoto
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Abstract

Natural disaster prevention and reduction strategies are of national importance. In Japan, earthquakes occur frequently and are often of a significant magnitude. Such occurrences of natural disasters require adequate preparations, and robots are the preferred choice of personnel for disaster-related search and rescue tasks. Humanoid robots, in particular, can modify their behavior depending on the situations or conditions, and are expected to be used in disaster-affected areas for search and rescue activities. This study focuses on the humanoid robot shuffling walk, which is expected to be advantageous when moving around a narrow area with a constrained posture, as is often required for rescue operations in the devastated area. This report will propose a new load gradient model in foot soles for the synchronous, non-parallel shuffling walk of humanoid robots, for efficient movement.
非平行洗牌人形步行足底负荷梯度模型
预防和减少自然灾害战略具有国家重要性。在日本,地震经常发生,而且往往是相当大的震级。这种自然灾害的发生需要充分的准备,而机器人是从事灾害相关搜救任务的人员的首选。特别是人形机器人,可以根据情况或条件改变自己的行为,有望用于受灾地区的搜索和救援活动。本研究的重点是仿人机器人的洗牌行走,这有望在狭窄的区域内以受限的姿态移动时具有优势,因为这通常需要在灾区进行救援行动。本文将提出一种新的人形机器人同步非平行洗牌行走的脚底负荷梯度模型,以提高运动效率。
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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