학술논문

Optimal Multi-Target Path Planing Control for Multiple Mobile Robot System
Document Type
Conference
Source
2023 International Conference on System Science and Engineering (ICSSE) System Science and Engineering (ICSSE), 2023 International Conference on. :581-586 Jul, 2023
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Planing
Simultaneous localization and mapping
Trajectory tracking
Shape
Simulation
Aerospace electronics
Formation control
Multiple robot system
Travelling salesman problems
Ant Colony Optimization
Language
ISSN
2325-0925
Abstract
In this paper, the problems related to cooperative control for the multiple mobile robot system (MMRS) is presented. The LIDAR sensor is employed to obtain the 2D map of the indoor space. The formation control and the leader-following algorithm are applied to control the MMRS moving in a specific formation. Additionally, this paper considers the scenario that the MMRS has to move to several targets in the indoor space with many obstacles. Therefore, the indoor travelling salesman problem-based Ant Colony Optimization (ACO) is studied in this work to determine the optimal moving path of the MMRS. To prove the effectiveness and merit of the proposed methods, the simulation results are provided in this article.