Papers
41
Total Citations
1,074
H-Index
17
About
Erfu Yang is a prominent robotics and artificial intelligence researcher whose work spans multi-robot systems, autonomous systems for harsh environments, and human-robot collaboration in smart manufacturing. His influential 2004 survey on multiagent reinforcement learning for multi-robot systems, now with 141 citations, established early groundwork in applying AI coordination strategies to robotics—a foundation that continues to shape the field. Yang has since expanded his focus toward practical robotic deployments in challenging industrial settings, with highly cited reviews examining autonomous systems for harsh environments (110 citations) and inspection robots in the oil and gas industry (105 citations), highlighting his commitment to bridging theoretical research with real-world safety-critical applications. More recently, his work on human-robot collaboration in smart manufacturing environments (140 citations) reflects a forward-looking engagement with Industry 4.0 technologies, addressing flexibility, efficiency, and sustainability imperatives. Additional contributions in visual SLAM, planetary rover navigation, and collaborative mobile manipulators demonstrate the remarkable breadth of his expertise. With over 700 total citations across his most recognized works, Yang has established himself as a key voice in making autonomous and collaborative robotic systems more capable, adaptable, and deployable across diverse and demanding environments.
Research Focus
Key Achievements
Top Papers
- 1Multiagent Reinforcement Learning for Multi-Robot Systems: A Survey141 citations · 2004
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- 5An overview of robotics and autonomous systems for harsh environments67 citations · 2017
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- 10An Overview of Human-Robot Collaboration in Smart Manufacturing28 citations · 2022