摘要
移动机器人是目前科学领域中十分活跃的部分,在农业、工业、医疗产业、物流、军事等多个方面得到广泛的应用。要实现智能机器人在未知空间中自主完成任务,同时识别危险区域、环境信息等多种反馈,路径规划是其最重要的环节之一。因此,研究路径规划技术对于智能机器人的发展具有重要意义。从算法的完备性和概率完备性两个角度对国内外研究现状进行系统地总结和分析,针对智能机器人的发展现状列举各类典型算法的关键性特点。通过列举国和分析内外研究方法,展望和总结了智能机器人未来发展趋势。
Intelligent robot is active part in the field of science and has been widely used in agriculture,industry,medical industry,logistics,military and other aspects.The path planning is one of the most important steps to realize the autonomous completion of tasks by the intelligent robot in the unknown space and the recognition of various feed-back such as the dangerous area and the environmental information.Therefore,it is of great significance to study the path planning technology for the development of intelligent robots.A systematic summary and analysis of the research status at home and abroad was made from two perspectives of algorithm completeness and probabilistic completeness,and the key characteristics of various typical algorithms were enumerated according to the development status of intelligent robots.By enumerating research methods at home and abroad,the future development trend of intelligent robot ess prospected and summarized.
作者
张广帅
韦建军
刘铨权
王春宝
王同
毛志贤
罗承开
Zhang Guangshuai;Wei Jianjun;Liu Quanquan;Wang Chunbao;Wang Tong;Mao Zhixian;Lno Chengkai(School of Mechanical and Traffic Engineering,Guangxi University of Science and Technology,Liuzhou,Guangxi 545000,China;Shenzhen Institute of Gerontology,Shenzhen,Guangdong 518035,China;The First Affiliated Hospital of Shenzhen University,Shenzhen,Guangdong 518035,China)
出处
《机电工程技术》
2021年第4期14-24,共11页
Mechanical & Electrical Engineering Technology
基金
国家自然科学基金项目(编号:61963007,61703282)
智能机器人与系统高精尖创新中心开放基金项目(编号:2018IRS07,2018IRS08)
深圳市第二人民医院临床研究项目(编号:20203357037)。
关键词
智能机器人
路径规划
环境信息
完备性
概率完备性
intelligent robot
path planning
environmental information
resolution completeness
probabilistic completeness
