Cooperative Coverage Path Planning for Multi-Mobile Robots Based on Improved K-Means Clustering and Deep Reinforcement Learning

Cooperative Coverage Path Planning for Multi-Mobile Robots Based on Improved K-Means Clustering and Deep Reinforcement Learning

With the increasing complexity of patrol tasks, the use of deep reinforcement learning for collaborative coverage path planning (CPP) of multi-mobile robots has become a new hotspot. Taking into account the complexity of environmental factors and operational limitations, such as terrain obstacles an...

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Bibliographic Details
Main Authors: Jianjun Ni, Yu Gu, Guangyi Tang, Chunyan Ke, Yang Gu
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Electronics
Subjects:
coverage path planning
deep reinforcement learning
dueling network
improved K-Means clustering algorithm
multi-mobile robots
Online Access:https://www.mdpi.com/2079-9292/13/5/944

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