Yee Seng Teoh
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
Top Papers
- 1
- 2A Robust Robot Design for Item Picking30 citations · 2018
- 3
- 4Vision-based food handling system for high-resemblance random food items6 citations · 2024