Shih‐Lun Chen
Papers
2
Total Citations
15
H-Index
2
About
Shih-Lun Chen is a leading researcher in the field of hardware-efficient robotic systems, with a primary focus on the real-time control and design of biped robots. His major contributions center on developing innovative, low-complexity Field-Programmable Gate Array (FPGA) architectures for inverse kinematics. Specifically, Chen pioneered a fully pipelined CORDIC-based algorithm that dramatically accelerates the calculation of joint angles and distances, enabling stable and smooth bipedal locomotion. To further advance the field, he introduced a binomial approximation technique that significantly reduces hardware cost while maintaining high accuracy. His work on a CORDIC pipelined architecture chip design, published in 2022, represents a critical step toward deploying biped robots in challenging environments like rescue and exploration. With his most-cited papers garnering 8 and 7 citations respectively, Chen’s research is foundational for students and engineers seeking to bridge the gap between theoretical robotics and practical, high-speed hardware implementation. His achievements underscore a commitment to making sophisticated robotic control both accessible and efficient.
Research Focus
Key Achievements
Top Papers
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- 2