Papers
4
Total Citations
23
H-Index
3
About
Feng-Chi Lee’s research focuses on the intersection of robotics and digital hardware design, particularly in solving complex kinematic problems for industrial manipulators. His major contributions center on developing efficient inverse kinematics solutions for robots with offset wrists—such as the Yaskawa MA1400—by reformulating the problem as a minimization task to reduce computational complexity. Lee is also a pioneer in implementing forward and inverse kinematics on Field Programmable Gate Arrays (FPGAs), creating intellectual property (IP) cores that complete calculations in microseconds. His work on FPGA-based hardware implementations of arctangent and arccosine functions addresses the critical bottleneck of real-time trigonometric computation in robot control. With over 20 citations across his most-cited papers, Lee’s research has demonstrated practical impact in accelerating robot manipulator performance. Notably, his 2015 paper on inverse kinematics for offset-wrist robots remains a reference for engineers working with industrial robots like the Yaskawa MA1400, while his FPGA-based approaches offer a scalable path toward faster, more reliable robot control systems.
Research Focus
Key Achievements
Top Papers
- 1Inverse kinematics of robot manipulators with offset wrist8 citations · 2015
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