Yi Chen
Papers
1
Total Citations
103
H-Index
1
About
Yi Chen is a prominent researcher at the intersection of human-robot collaboration and intelligent manufacturing, whose work has significantly advanced how robots perceive and respond to human intentions in shared workspaces. Chen's most recognized contribution, "Controlling Object Hand-Over in Human–Robot Collaboration Via Natural Wearable Sensing" (2018), has garnered over 103 citations and addresses a critical challenge in collaborative robotics: enabling robots to autonomously detect and respond to human hand-over intentions without prior assumptions. By leveraging natural wearable sensing technologies, Chen's approach moves beyond the limitations of earlier systems that required predefined human behaviors, making human-robot interaction more fluid, intuitive, and practically deployable on factory floors. This work reflects Chen's broader research philosophy of bridging the gap between rigid automation and genuinely adaptive collaborative systems. The research has resonated strongly within the robotics and manufacturing communities, influencing subsequent studies in gesture recognition, intent prediction, and safe human-robot coexistence. Chen's contributions represent a meaningful step toward intelligent manufacturing environments where humans and robots work together seamlessly, safely, and efficiently — a vision increasingly central to modern industrial automation.
Research Focus
Key Achievements
Top Papers
- 1