机器人运动规划的图形检测:算术电路有用吗?

Matthias Bentert, Daniel Coimbra Salomao, Alex Crane, Yosuke Mizutani, Felix Reidl, Blair D. Sullivan
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引用次数: 0

摘要

对于直接应用于机器人运动规划的图形检测问题,我们研究了基于算术电路的算法是否是现有求解器的可行替代方案。具体来说,我们试图解决现有求解器内存占用率高的问题。在能快速恢复解的新理论成果的帮助下,我们实现了一种基于电路的图检测求解器,它只使用多项式空间,并在几个现实的机器人运动规划数据集上进行了测试。特别是,我们为三个关键程序提供了一套工程算法的综合实验评估。评估结果表明,基于电路的方法在我们的机器人应用中还不具备实际竞争力,但它也提供了一些启示,可以指导未来将基于电路的算法从理论引入实践的工作。
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Graph Inspection for Robotic Motion Planning: Do Arithmetic Circuits Help?
We investigate whether algorithms based on arithmetic circuits are a viable alternative to existing solvers for Graph Inspection, a problem with direct application in robotic motion planning. Specifically, we seek to address the high memory usage of existing solvers. Aided by novel theoretical results enabling fast solution recovery, we implement a circuit-based solver for Graph Inspection which uses only polynomial space and test it on several realistic robotic motion planning datasets. In particular, we provide a comprehensive experimental evaluation of a suite of engineered algorithms for three key subroutines. While this evaluation demonstrates that circuit-based methods are not yet practically competitive for our robotics application, it also provides insights which may guide future efforts to bring circuit-based algorithms from theory to practice.
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