Papers
34
Total Citations
479
H-Index
10
About
Jeffrey Too Chuan Tan is a robotics and human-robot interaction researcher whose work has fundamentally advanced the field of collaborative manufacturing and social robotics. Best known for his pioneering contributions to human-robot collaboration (HRC) in cellular manufacturing, Tan's most influential work — "Human-robot collaboration in cellular manufacturing: Design and development" (2009, 129 citations) — established foundational design principles for integrating robots and humans within shared production environments, using cable harness assembly as a practical testbed. His research has consistently tackled the critical challenge of safety in close-proximity human-robot systems, developing innovative solutions such as triple stereo vision monitoring to protect human operators during collaborative tasks. Beyond manufacturing, Tan has demonstrated remarkable breadth by contributing to cloud-based simulation platforms for social human-robot interaction through SIGVerse, skeletal tracking-based robot control systems, and brain-computer interface-driven service robotics. His involvement in RoboCup@Home reflects a commitment to large-scale human-robot interaction research and robotics education, notably bridging gaps between high school and university-level learning. With over 350 cumulative citations across his most recognized works, Tan's career exemplifies a sustained effort to make robots safer, smarter, and more meaningfully collaborative partners for humans in both industrial and everyday settings.
Research Focus
Key Achievements
Top Papers
- 1Human-robot collaboration in cellular manufacturing: Design and development129 citations · 2009
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- 8Development of RoboCup@Home Simulation towards Long-term Large Scale HRI18 citations · 2014
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