Rock Climbing Benchmark for Humanoid Robots

J. Baltes, Saeed Saeedvand
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Abstract

In this paper, we present the humanoid robot rock climbing competition as a benchmark problem for complex motion planning under kinematic and dynamic constraints. We also describe an advanced algorithm for motion planning in this domain. The algorithm finds stable configurations where three limbs are anchored to the wall and the fourth limb is moving. We suggest possible search techniques to find a sequence through these control funnels to find a path to the top of the climbing wall.
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人形机器人攀岩基准
本文将仿人机器人攀岩比赛作为运动学和动力学约束下复杂运动规划的基准问题。我们还描述了一种用于该领域运动规划的高级算法。该算法找到了稳定的结构,其中三个肢体固定在墙上,第四个肢体移动。我们建议可能的搜索技术,以找到一个序列,通过这些控制漏斗,找到一个路径,攀登墙的顶部。
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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