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 sel...
而Multi-Robot Path Planning中这里直接使用是否在当前智能体的邻域内(在的需要考虑,太远不在就不需要了). 状态 图中8号车为当前车, 浅蓝色到浅绿色为小车的状态领域,扩到浅橙色为交流半径区域,也即是1,0,3,5,4,2号车都要考虑,6,7号车太远不需要考虑,如下图. 通信图 浅绿色多出来的外围一圈是存放终...
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 / ...
Lakshmanan, A.K., Mohan, R.E., Ramalingam, B., Le, A.V., Veerajagadeshwar, P., Tiwari, K., Ilyas, M.: Complete coverage path planning using reinforcement learning for tetromino based cleaning and maintenance robot. Automation in Construction112, 103078 (2020) ArticleGoogle Scholar Liu, ...
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...
Complete coverage path planning (CPP) generates a path following which a robot can cover all free spaces in an environment. Compared with single robot CPP, multi-robot CPP gains both efficiency and challenges. In large scale environments, one robot is not competent to the coverage task, such ...
Robot Path Planning in Uncertain Environments Based on :基于不确定环境下的机器人路径规划 热度: 基于粒子群优化算法的移动机器人路径规划研究 热度: 一种高铁巡检机器人的路径规划方法及系统 热度: 多机器人路径规划研究方法(Researchonpathplanningofmulti ...
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...
Persistent coverage aims to maintain a certain coverage level over time in an environment where such level deteriorates. This level can be associated to temperature, dust or sensor information. We propose an algorithmic solution in which each robot locally finds the best paths and coverage actions ...
As the robots cover an initially unknown region, they perform intermittent exploration of the region and build a map, which in turn is used to plan the coverage path. We use a Voronoi partition based multi-robot coverage strategy using the Manhattan distance metric to solve the coverage problem...