返回
Homotopy Path Planning for Terrestrial Robots Using Spherical Algorithm
DOI:10.1109/TASE.2016.2638208.png)
摘要
En 中文
Autonomous and semiautonomous mobile robots play an important role in making tasks in environments considered hostile or dangerous for a human being. In order to execute many of the required tasks, robots need, in its architecture, a module of navigation with an appropriate path planning algorithm. This paper presents the development and implementation of a methodology for path planning of a mobile robot using a spherical algorithm and homotopy continuation methods (HCMs). The first section is a brief introduction about HCMs. Subsequently, the homotopy path planning method and spherical path tracking algorithm are explained, as well as the upgraded version and its main features. Then, the main contributions of this paper are presented and the effectiveness of the proposed method is proved. Besides, numerical examples, implementation results in multiple platforms including a 32b microcontroller and robot operating system, are displayed. Finally, some favorable results from a comparative between the proposed methodology against sampling-based planners using the open motion planning library are presented.
Keyword:
Homotopy continuation methods (HCMs)
mobile robotics
open motion planning library
path planning algorithm
robot operating system (ROS)
spherical path tracking algorithm
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.4
论文数:
5.0K
被引数:
1.6W
机构
引用论文
Robotic path planning in static environment using hierarchical multi-neuron heuristic search and probability based fitness使用分层多神经元启发式搜索和基于概率的适应度在静态环境中进行机器人路径规划
NEUROCOMPUTING
IF6.5

