Yen Hsueh
Papers
1
Total Citations
7
H-Index
1
About
Yen Hsueh is a robotics researcher whose work centers on the design and control of bipedal robots, with a particular emphasis on achieving stable, human-like locomotion for challenging environments. His most notable contribution is the development of an efficient and accurate CORDIC (Coordinate Rotation Digital Computer) pipelined architecture chip, based on a binomial approximation method, specifically tailored for biped robot control. This hardware-oriented approach addresses a critical bottleneck in real-time robotic movement, enabling faster and more precise calculations for joint angle and trajectory control. While his most-cited paper, "Efficient and Accurate CORDIC Pipelined Architecture Chip Design Based on Binomial Approximation for Biped Robot" (2022), has garnered 7 citations, its significance lies in bridging the gap between theoretical control algorithms and practical, embedded hardware implementation. Hsueh’s work is motivated by the long-term vision of deploying biped robots for autonomous rescue and exploration missions in hazardous terrains, where robust and efficient on-chip computation is essential. His research represents a foundational step toward more responsive and energy-efficient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1