Author:
Zheng Zhuoling,Gong HaoYu,Duan RuoBing,Qiu XinYu,Zou Jiajun
Abstract
Abstract
Through in-depth research in the current robot field, a design scheme of cooperative navigation and control system for multiple robots based on ROS and laser SLAM is proposed. Compared with a single robot, multi-robot cooperation can improve the operation range and efficiency, and is suitable for more diversified scenarios. The system design includes multi-machine mapping, multi-machine global and local path planning, multi-machine navigation, real-time obstacle avoidance, multi-machine dynamic task assignment. Through the centralized control structure, the robot collects the lidar data in real time to build the map in real time and realizes the integration of multi-machine map building. Then, the path planning algorithm is called to plan the path. Combined with the dynamic task allocation algorithm, the efficiency of multi-robot cooperative operation is maximized and the execution experience is provided for the implementation of other similar projects.
Subject
General Physics and Astronomy
Reference9 articles.
1. Compositional Design of Multi-Robot Systems Control Software on ROS[J];Spellini,2019
2. Design and Development of Robot Navigation and Obstacle Avoidance System Based on ROS Platform[J];Jia,2019
3. Design and implementation of AGV navigational system based on ROS and laser radar[J];Han,2018
4. Design and research of multi axis motion control system based on PLC[J];Fang;Academic Journal of Manufacturing Engineering,2017
5. Simulation of Multi-robot Cooperative Scheduling System Based on ROS[J];He;Journal of Physics: Conference Series,2020
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Research of STF-CKF-SLAM algorithm using Variational Bayes;Proceedings of the 2023 6th International Conference on Electronics, Communications and Control Engineering;2023-03-24
2. Multi-robot collaborative SLAM Based on optimized ORB;2022 China Automation Congress (CAC);2022-11-25
3. Research on AGV map building and positioning based on SLAM technology;2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE);2022-11-18