Papers
16
Total Citations
263
H-Index
9
About
Kok Kiong Tan is a prominent researcher whose work spans robotics, control systems, and medical mechatronics — fields where his contributions have meaningfully advanced both theoretical foundations and real-world applications. His early work on adaptive neural network algorithms for rigid-link electrically driven robots (44 citations) and decentralized adaptive control for large-scale robotic systems (42 citations) established him as a significant voice in intelligent control design. Over time, his research evolved toward precision medical devices, particularly ear surgical systems, where he has made notable strides in force estimation, disturbance rejection, and contact force control on delicate soft membranes — work that directly addresses patient safety challenges when general anesthesia cannot be administered. His 2022 study on precision force tracking in robotic surgical devices interacting with deformable tissues reflects a sustained commitment to improving surgical accuracy and efficiency. Beyond surgery, Tan has contributed to spherical air bearing positioning systems, piezoelectric motor control, and ultrasound-guided catheter placement, demonstrating impressive breadth. With cumulative citations exceeding 230 across his most recognized works, his research portfolio reflects a career dedicated to bridging advanced control theory with impactful engineering solutions in healthcare and automation.
Research Focus
Key Achievements
Top Papers
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- 4Contact Force Control on Soft Membrane for an Ear Surgical Device32 citations · 2018
- 5Development of a Spherical Air Bearing Positioning System23 citations · 2011
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- 8Precision motion control of a linear piezoelectric ultrasonic motor stage10 citations · 2013
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