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arXiv 2104.04285math.OCcs.SYeess.SY
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黎曼流形上的变分避碰

Variational Collision Avoidance on Riemannian Manifolds

Jacob R. Goodman, Leonardo J. Colombo

摘要:

研究完备黎曼流形上多智能体系统的变分避碰问题。也就是说,我们最小化的能量功能,在一组可接受的曲线,这取决于一个人工势函数,用于避免代理之间的碰撞。我们展示了全局存在的极小的变分问题,我们提供的条件下,它是可能的,以确保代理将避免碰撞在一些所需的公差。我们还研究了问题的轨迹被约束到有统一的边界上的衍生物,并获得替代的安全条件,避免碰撞的这些界限-即使在人工潜力是不足够的情况下,以确保存在的全球最小。

英文摘要:

This paper studies variational collision avoidance problems for multi-agents systems on complete Riemannian manifolds. That is, we minimize an energy functional, among a set of admissible curves, which depends on an artificial potential function used to avoid collision between the agents. We show the global existence of minimizers to the variational problem and we provide conditions under which it is possible to ensure that agents will avoid collision within some desired tolerance. We also study the problem where trajectories are constrained to have uniform bounds on the derivatives, and derive alternate safety conditions for collision avoidance in terms of these bounds - even in the case where the artificial potential is not sufficiently regular to ensure existence of global minimizers.

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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