切线束
运动规划
切线
捆绑
曲率
歧管(流体力学)
切线空间
数学
随机树
可并行流形
算法
束流调整
配置空间
路径(计算)
拓扑(电路)
数学优化
计算机科学
几何学
机器人
人工智能
组合数学
工程类
物理
复合材料
材料科学
机械工程
程序设计语言
量子力学
图像(数学)
作者
Beobkyoon Kim,Terry Taewoong Um,Chansu Suh,F. C. Park
出处
期刊:Robotica
[Cambridge University Press]
日期:2014-05-28
卷期号:34 (1): 202-225
被引量:81
标识
DOI:10.1017/s0263574714001234
摘要
SUMMARY The Tangent Bundle Rapidly Exploring Random Tree (TB-RRT) is an algorithm for planning robot motions on curved configuration space manifolds, in which the key idea is to construct random trees not on the manifold itself, but on tangent bundle approximations to the manifold. Curvature-based methods are developed for constructing tangent bundle approximations, and procedures for random node generation and bidirectional tree extension are developed that significantly reduce the number of projections to the manifold. Extensive numerical experiments for a wide range of planning problems demonstrate the computational advantages of the TB-RRT algorithm over existing constrained path planning algorithms.
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