Chao-Wei Lin
Papers
2
Total Citations
24
H-Index
2
About
Chao-Wei Lin is a robotics researcher whose work lies at the critical intersection of human-robot interaction, multi-agent systems, and decentralized control. His primary research focuses on enabling seamless human-in-the-loop coordination for networks of mobile robots, a challenge central to applications in search-and-rescue, surveillance, and industrial automation. Lin’s most notable contribution is the experimental validation of a control framework that uses task abstraction—artificial functions that simplify complex robot behaviors—allowing a single human operator to effectively manage multiple autonomous robots. His 2015 paper on this topic, which has garnered 20 citations, provides foundational experimental evidence for this approach. Building on this, Lin has also explored decentralized bilateral teleoperation, where only a subset of robots receives direct human commands, yet the entire network maintains coordinated behavior through information exchange. This work, published in 2017, addresses the scalability and communication constraints of real-world multi-robot systems. Through his research, Lin is advancing the practical deployment of human-supervised robot teams, making complex multi-robot coordination more intuitive and robust for operators.
Research Focus
Key Achievements
Top Papers
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- 2