首页|期刊导航|自动化学报（英文版）|Deep Reinforcement Learning for Zero-Shot Coverage Path Planning With Mobile Robots
自动化学报（英文版）2025，Vol.12Issue(8)：1594-1609,16.DOI:10.1109/JAS.2024.125064
Deep Reinforcement Learning for Zero-Shot Coverage Path Planning With Mobile Robots
Deep Reinforcement Learning for Zero-Shot Coverage Path Planning With Mobile Robots
摘要
关键词
Autonomous robots/coverage path planning/deep reinforcement learning/mobile robot/partially observable markov decision processes/path planning/zero-shot generalizationKey words
Autonomous robots/coverage path planning/deep reinforcement learning/mobile robot/partially observable markov decision processes/path planning/zero-shot generalization引用本文复制引用
José Pedro Carvalho,A.Pedro Aguiar..Deep Reinforcement Learning for Zero-Shot Coverage Path Planning With Mobile Robots[J].自动化学报（英文版）,2025,12(8):1594-1609,16.基金项目
This work was partially supported by project RELIABLE(PTDC/EEI-AUT/3522/2020),R&D Unit SYSTEC-Base(UIDB001472020)and Programmatic(UIDP001472020)funds-and Associate Laboratory Advanced Production and Intelligent Systems ARISE-LAP01122020,funded by national funds through the FCT/MCTES(PIDDAC). （PTDC/EEI-AUT/3522/2020）
