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A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures
Motion planning is critical to realize the autonomous operation of mobile robots. As the
complexity and randomness of robot application scenarios increase, the planning capability …
complexity and randomness of robot application scenarios increase, the planning capability …
Decentralized multi-robot formation control using reinforcement learning
J Obradović, M Križmančić… - 2023 XXIX International …, 2023 - ieeexplore.ieee.org
This paper presents a decentralized leader-follower multi-robot formation control based on a
reinforcement learning (RL) algorithm applied to a swarm of small educational Sphero …
reinforcement learning (RL) algorithm applied to a swarm of small educational Sphero …
多智能体路径规划综述.
刘志飞， 舄曹， 蔦赖， 陈希亮… - Journal of Computer …, 2022 - search.ebscohost.com
多智能体路径规划(multi-agent path finding, MAPF) 是为多个智能体规划路径的问题,
关键约束是多个智能体同时沿着规划路径行进而不会发生冲突. MAPF 在物流, 军事 …
关键约束是多个智能体同时沿着规划路径行进而不会发生冲突. MAPF 在物流, 军事 …
Multi-Robot Formation Control using Collective Behavior Model and Reinforcement Learning
JC Liu, TT Liu - 2022 IEEE International Symposium on Circuits …, 2022 - ieeexplore.ieee.org
A multi-robot system has advantages in complex tasks, where formation control is one of the
most critical and fundamental tasks. For small-sized, autonomous, and enduring robots …
most critical and fundamental tasks. For small-sized, autonomous, and enduring robots …
[ЦИТИРОВАНИЕ][C] 심층강화학습 기반 로봇 네비게이션 연구 동향
권준， 노강찬， 박상백， 오도경， 고병진， 박태준 - 정보과학회지, 2023 - dbpia.co.kr
현대 사회에서 모바일 로봇은 인간의 일상 생활과다양한 산업 분야에서 핵심적인 역할을
수행한다. 특히, 환경 탐색, 자료 수집, 보안, 의료 지원 등의 임무에서 모바일 로봇의 활용이 …
수행한다. 특히, 환경 탐색, 자료 수집, 보안, 의료 지원 등의 임무에서 모바일 로봇의 활용이 …