基于生物力学模型的人体手臂一致性测试

C. Stark, Aaron Pereira, M. Althoff
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引用次数: 4

摘要

为了保证人机共存的安全,通常需要预测到未来一段时间人类可能占据的体积,以避免碰撞。这样的预测应该是简单和快速的实时计算和碰撞检查,但甚至考虑到意外的移动。我们使用一个复杂的生物力学模型来寻找极端的人体运动,以验证这样的预测。由于该模型具有较大的输入空间和高度非线性的动力学特性,我们采用了基于RRTs的探索算法来有效地找到极端运动。我们发现,简单的预测包含了探索算法找到的所有手臂位置,除了生物力学模型没有考虑身体组织之间的碰撞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reachset Conformance Testing of Human Arms with a Biomechanical Model
Guaranteeing safety in human-robot co-existence often requires a prediction of the volume that could be occupied by the human up to a future time, in order to avoid collisions. Such predictions should be simple and fast for real-time calculation and collision-checking, but account even for unexpected movement. We use a complex biomechanical model to search for extreme human movement, to validate such a prediction. Since the model has a large input space and highly nonlinear dynamics, we use an exploration algorithm based on RRTs to efficiently find the extreme movements. We find that the simple prediction encloses all arm positions found by the exploration algorithm, except where the biomechanical model does not account for collision between body tissue.
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