ROBOTIC path planningREWARD (Psychology)POTENTIAL field method (Robotics)MOBILE robotsONLINE educationAiming at the problems of security, high repetition rate, and many restrictions of multirobot coverage path planning (MCPP) in an unknown environment, Deep Q-Network (DQN) is s...
内容提示: J Intell Robot Syst (2017) 86:663–680DOI 10.1007/s10846-016-0461-xDARP: Divide Areas Algorithm for Optimal Multi-RobotCoverage Path PlanningAthanasios Ch. Kapoutsis ·Savvas A. Chatzichristofis ·Elias B. KosmatopoulosReceived: 6 December 2016 / Accepted: 15 December 2016 / ...
链接:https://arxiv.org/pdf/2011.13219.pdf Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planningarxiv.org/pdf/2011.13219.pdf 文章最近2020年11月才放在arxiv上的,跟之前自己写过的多智能体路径规划相关,这里这次总结下,只是后面作者训练时候没有用到RL的方法,用了监督学习的方...
Coverage path is computed using Boustrophedon Cellular Decomposition. The plan is then divided into equal sub-plans and assigned to each agent.Here is a demo of the path planning algorithm in action, ran on the occupancy grid generated using Multi-Robot SLAM on a complex office setting....
Multirobot Coverage Path Planning Based on Deep Q-Network in Unknown Environment Aiming at the problems of security, high repetition rate, and many restrictions of multirobot coverage path planning (MCPP) in an unknown environment, Deep... W Li,T Zhao,S Dian - 《J Robotics》 被引量: 0发...
我们研究了在 makespan(最后到达时间)标准上的图(MPP)上的最优多机器人路径规划问题。 我们实现了 A* 搜索算法来寻找解决方案。 在 MPP 实例中,机器人被唯一标记(即,可区分)并被限制在 nxn 平方连接图中。 在没有碰撞的情况下,机器人可能会在一个时间步长内从一个顶点移动到相邻的一个顶点,这可能发生在两...
This paper deals with the path planning problem of a team of mobile robots, in order to cover an area of interest, with prior-defined obstacles. For the single robot case, also known as single robot coverage path planning (CPP), an ( n ) optimal methodology has already been proposed and...
Coverage path planning (CPP) of multiple Dubins robots has been extensively applied in aerial monitoring, marine exploration, and search and rescue. Existing multi-robot coverage path planning (MCPP) research use exact or heuristic algorithms to address coverage applications. However, several exact alg...
多机器人路径规划研究方法(Researchonpathplanningofmulti robot) ZhangYaming,YangShengyue,FanXiaoping,QuZhihua,Lei Xiaoyu,JiaZhanzhao Abstract:Basedontheliteraturesonthemultirobotpath planningisthemainresearchcontentsandresearchstatusare analyzedandsummarized,discussesthemethodofpathplanning ofmultirobotevaluationstand...
A new cooperative co-evolutionary algorithm for multiobjective optimization is applied to the multi-robot path planning with three objectives.The algorithm adopts a novel mode of collaboration among subpopulations,thus improving its ability to keep diversity and avoiding the difficult process of fitness ...