摘要
农业机器人的路径规划能够提高机器人的作业效率,优化作业路径,节约能源消耗,降低作业成本,提升作业质量与精度,已成为农业机器人研究的重要方向。在市场与国家政策的推动下,我国农业机器人路径规划得到了快速发展,路径规划技术的关键在于获取准确的环境信息、地图构建、智能规划算法的选择。对农业机器人路径规划技术要点进行梳理与总结。阐述了路径规划在不同农业场景下的需求与差异,分析了路径规划的方法及特点,介绍了常用的路径规划算法及其特点,包括A*算法、Dijkstra算法、粒子群算法、RRT算法等,最后,分析与展望了农业机器人领域路径规划的发展趋势。
The path planning of agricultural robot can improve the working efficiency of the robot,optimize the working path,save energy consumption,reduce operating costs,and improve the quality and accuracy of operation,which has become an important direction of agricultural robot research.With the promotion of market and national policy,agricultural robot path planning has been developed rapidly in China.The key of path planning technology is to obtain accurate environmental information,map construction,and the choice of intelligent planning algorithm.In this paper,the key points of agricultural robot path planning technology are sorted out and summarized.The requirements and differences of path planning in different agricultural scenes were described,the methods and characteristics of path planning were analyzed,and the commonly used path planning algorithms and their characteristics were introduced,including A*algorithm,Dijkstra algorithm,particle swarm optimization algorithm,RRT algorithm and so on.Finally,the development trend of agricultural robot path planning was analyzed and prospected.
作者
张博昆
祝泰鑫
刘晨秋
王云泽
马志凯
张光强
ZHANG Bokun;ZHU Taixin;LIU Chenqiu;WANG Yunze;MA Zhikai;ZHANG Guangqiang(College of Electrical Engineering&New Energy,China Three Gorges University,Yichang 443002,China;College of Mechanical and Electrical Engineering,Hebei Agricultural University,Baoding 071001,China;Intelligent Equipment Research Center,Beijing Academy of Agriculture and Forestry Science,Beijing 100097,China;State Key Laboratory of Intelligent Agricultural Power Equipment,Beijing 100097,China)
出处
《拖拉机与农用运输车》
2024年第3期11-14,共4页
Tractor & Farm Transporter
基金
河北省重点研发计划(22327204D)
中央引导地方科技发展资金项目(236Z7203G)
大学生创新创业项目(2024089)。
关键词
路径规划
农业机器人
规划算法
智能调度
Path planning
Agricultural robot
Planning algorithm
Intelligent scheduling