Yee Seng Teoh

Nanyang Technological University

Papers

4

Total Citations

148

H-Index

4

About

Yee Seng Teoh is a leading researcher in soft robotics and automated food handling, whose work bridges the gap between delicate manipulation and industrial efficiency. His primary research areas include reconfigurable soft grippers, vision-based food handling, and robotic bin-picking for manufacturing. Teoh’s major contribution is the development of a sensorized, reconfigurable soft robotic gripper system that can adapt its fingers into scoop, pinch, and claw poses, enabling the safe handling of fragile, irregular food items like uncooked tofu and broccoli—a task previously challenging for rigid robots. This work, published in 2021, has garnered 95 citations, underscoring its impact on the field. He also led the design of a robust robot for the Amazon Robotics Challenge, achieving 30 citations for its systematic performance study. More recently, Teoh has advanced vision-based systems capable of distinguishing high-resemblance random food items, a critical step toward fully automated robotic kitchens. His bin-picking benchmark for food handling on line production (17 citations) provides a standardized evaluation framework for the industry. Teoh’s innovations are shaping the future of food automation, enhancing hygiene, consistency, and traceability.

Research Focus

Key Achievements

4
H-Index
4
Papers
148
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Sensorized Reconfigurable Soft Robotic Gripper System for Automated Food Handling
95 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Nanyang Technological University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago