Distributed Coordination by Social Learning in the Multi-Robot Systems of a Smart Factory-Reference-Cited by-同舟云学术

Distributed Coordination by Social Learning in the Multi-Robot Systems of a Smart Factory

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Global Communications Conference (GLOBECOM)
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Author:

Nie Zixiang¹,Chen Kwang-Cheng¹

Affiliation:

1. University of South Florida Tampa,Department of Electrical Engineering,Florida,United States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9685019/9685006/09685165.pdf?arnumber=9685165

Reference21 articles.

1. An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination

2. Dynamic Event-Triggered Distributed Coordination Control and its Applications: A Survey of Trends and Techniques

3. A decentralized multi-agent coordination method for dynamic and constrained production planning;lujak;Proc of International Conference on Autonomous Agents and Multiagent Systems,0

4. Stop, Think, and Roll: Online Gain Optimization for Resilient Multi-robot Topologies

5. Communication Methodology to Control a Distributed Multi-Agent System

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1. Social-Learning Coordination of Collaborative Multi-Robot Systems Achieves Resilient Production in a Smart Factory;IEEE Transactions on Automation Science and Engineering;2024

2. Predictive Path Coordination of Collaborative Transportation Multirobot System in a Smart Factory;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024

3. The effects of industry 4.0 on productivity: A scientific mapping study;Technology in Society;2023-11

4. Socially Networked Multi-Robot System of Time-Sensitive Multi-Link Access in a Smart Factory;ICC 2023 - IEEE International Conference on Communications;2023-05-28