Papers
6
Total Citations
116
H-Index
5
About
Dr. Tat Joo Teo is a leading researcher at the intersection of precision mechatronics, compliant mechanisms, and intelligent robotic manipulation. His work is defined by a dual focus: achieving ultra-high-precision motion control for nanopositioning systems and developing adaptive, intelligent grasping for universal robotic manipulation. Dr. Teo’s major contributions include pioneering data-driven, learning-based control strategies that overcome the limitations of traditional model-based approaches, as demonstrated in his highly cited 2020 work on multiobjective controller optimization for magnetically levitated nanopositioners (53 citations). He has also advanced the field of robotic grasping with innovative frameworks like “Weight Imprinting Classification” for variable-stiffness grippers and “RelationGrasp,” which integrates object-oriented prompt learning for open-vocabulary manipulation. His research on compliant manipulators provides foundational knowledge for designing flexible, high-performance robotic systems. With a publication record spanning high-impact journals, Dr. Teo’s work is instrumental in pushing the boundaries of automation, from high-speed spiral scanning for nanoscale imaging to dexterous grasping in cluttered environments, making him a pivotal figure in modern robotics and precision engineering.
Research Focus
Key Achievements
Top Papers
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- 3Compliant Manipulators18 citations · 2014
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- 5Compliant Manipulators9 citations · 2014
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