Gilbert Tang
Papers
21
Total Citations
244
H-Index
8
About
Gilbert Tang is a prominent researcher specializing in human-robot collaboration (HRC), robot communication systems, and autonomous mobile robotics. His work sits at the intersection of industrial automation and human-centered design, focusing on making robots safer, more intuitive, and more effective to work alongside. Tang's most influential contribution is the development of Robot Light Skin (2018, 52 citations), a novel signaling system designed to enhance communication between humans and industrial robots—a deceptively simple yet impactful innovation for factory-floor safety. Complementing this, his research into ergonomic gesture control systems (2018, 37 citations; 2015, 21 citations) has pioneered contactless, intuitive robot programming interfaces, reducing the physical demands of conventional teach pendants and lowering barriers for non-expert users. His investigations into how robot speed and proximity affect human comfort and trust (2022, 42 citations) have informed practical guidelines for collaborative workspace design. More recently, Tang has extended his expertise to mobile robot navigation, developing hybrid obstacle detection and avoidance frameworks, including the NAV-YOLO system, with applications in aerospace Maintenance, Repair, and Overhaul (MRO) environments. With over 210 cumulative citations, Tang's body of work has meaningfully advanced both the safety standards and the usability of industrial robotics across manufacturing and aerospace sectors.
Research Focus
Key Achievements
Top Papers
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- 7Mobile Robot Obstacle Detection and Avoidance with NAV-YOLO9 citations · 2024
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- 10Human–Robot Shared Workspace in Aerospace Factories5 citations · 2019