Sampling-based robot motion planning: Towards realistic applications

被引：47
|
作者：
Tsianos, Konstantinos I. [1 ]
Sucan, Ioan A. [1 ]
Kavraki, Lydia E. [1 ]
机构：
[1] Rice Univ, Dept Comp Sci, Houston, TX 77251 USA
来源：
COMPUTER SCIENCE REVIEW | 2007年 / 1卷 / 01期
关键词：
D O I：
10.1016/j.cosrev.2007.08.002
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents some of the recent improvements in sampling-based robot motion planning. Emphasis is placed on work that brings motion-planning algorithms closer to applicability in real environments. Methods that approach increasingly difficult motionplanning problems including kinodynamic motion planning and dynamic environments are discussed. The ultimate goal for such methods is to generate plans that can be executed with few modifications in a real robotics mobile platform. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2 / 11
页数：10
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