Qr code
中文
Yong Song

Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Other Post:Guest Editor of International Journal of Applied Intelligence,Reviewer of IEEE Access, Advances in Mechanical Engineering, and several other journals
Gender:Male
Alma Mater:Shandong University
Education Level:Postgraduate (Doctoral)
Degree:Doctoral Degree in Engineering
Status:Employed
School/Department:School of Mechanical, Electrical & Information Engeering
Date of Employment:2001-07-01
College: School of Mechanical, Electrical & Information Engineering, Weihai
Discipline:Control Theory and Control Engineering
Business Address:Room 307, South Part of Zhixing Building
E-Mail:
Click:Times

The Last Update Time: ..

4d5J0o2xNp5sgLdwuy232KPCZyOzfYpSUfbwtDbJDAuhTb54yREdwmwgRmow
Current position: Home >> Scientific Research >> Paper Publications
Empowering Multirobot Flocking in Complex Environments via Effective Communication: A Deep Reinforcement Learning Approach

Hits:

Title of Paper:Empowering Multirobot Flocking in Complex Environments via Effective Communication: A Deep Reinforcement Learning Approach

Journal:IEEE Transactions on Industrial Informatics

Key Words:Communications, flocking, multirobot system, reinforcement learning (RL)

First Author:Yunjie Jia

Correspondence Author:Yong Song*,Sam Kwong

All the Authors:Jiyu Cheng,Heteng Zhang,Wei Wang,Rui Song,Simon X. Yang

Translation or Not:No

Date of Publication:2025-07

Included Journals:SCI

Release Time:2025-07-29