论文标题
近似距离指标的分段线性回归
Piecewise linear regressions for approximating distance metrics
论文作者
论文摘要
本文提出了一个数据结构,该数据结构总结了使用二进制空间分区的二进制空间分区,其单元格包含用于距离函数的局部线性近似的参数。查询数据结构非常快,尤其是与查询概率路线图所需的图形搜索相比,并且内存要求很有希望。该论文探讨了为单个机器人构建的数据结构的使用,以提供挑战多机器人运动计划问题的启发式。潜在的应用还包括使用远程计算来分析机器人运动的空间,然后将其按需传输到具有较少计算资源的机器人。
This paper presents a data structure that summarizes distances between configurations across a robot configuration space, using a binary space partition whose cells contain parameters used for a locally linear approximation of the distance function. Querying the data structure is extremely fast, particularly when compared to the graph search required for querying Probabilistic Roadmaps, and memory requirements are promising. The paper explores the use of the data structure constructed for a single robot to provide a heuristic for challenging multi-robot motion planning problems. Potential applications also include the use of remote computation to analyze the space of robot motions, which then might be transmitted on-demand to robots with fewer computational resources.