An Efficient Solution to Optimal Motion Planning With Provable Safety and Convergence

PANAGIOTIS ROUSSEAS;Charalampos Bechlioulis;Kostas Kyriakopoulos
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引用次数: 0

Abstract

An innovative solution to the optimal motion planning problem is presented in this work. A novel parametrized actor structure is proposed, which guarantees safe and convergent navigation by construction. Concurrently, an efficient scheme for optimizing a mixed state and energy cost function is formulated. The proposed method inherits the positive traits of continuous methods, while at the same time providing sub-optimal –but close to optimal– results significantly faster and in more complex workspaces than previous ones. The scheme is demonstrated to outperform established relevant methods, while at the same time being competitive w.r.t. execution time. Extensive simulations to validate the effectiveness of the method are presented, along with relevant technical proofs for safety and convergence.
具有可证明安全性和收敛性的最优运动规划高效解决方案
本研究提出了优化运动规划问题的创新解决方案。本文提出了一种新颖的参数化角色结构,通过构造保证了安全和收敛的导航。同时,还提出了优化混合状态和能量成本函数的高效方案。所提出的方法继承了连续方法的积极特征,同时在更复杂的工作空间中,比以前的方法更快地提供次优但接近最优的结果。事实证明,该方案优于已有的相关方法,同时在执行时间上也具有竞争力。本文还介绍了大量仿真,以验证该方法的有效性,以及安全性和收敛性的相关技术证明。
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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