Yi‐Qin Zhang
Papers
1
Total Citations
8
H-Index
1
About
Dr. Yi‐Qin Zhang is a leading researcher in robotics and reconfigurable computing, with a focus on real-time hardware acceleration for autonomous systems. Their most cited work, "Fully pipelined CORDIC‐based inverse kinematic FPGA design for biped robots" (2015, 8 citations), introduces a high-speed field-programmable gate array (FPGA) architecture that calculates joint angles and distances for biped robots in real time. By developing a low-complexity, high-accuracy hardware-oriented algorithm based on CORDIC, and employing hardware sharing techniques to reduce resource usage, Zhang significantly advances the efficiency of embedded robotic control. This contribution enables faster, more reliable motion planning for legged robots, addressing critical challenges in dynamic balance and real-time response. Zhang’s work bridges the gap between algorithm design and hardware implementation, demonstrating how custom digital circuits can outperform general-purpose processors in robotics applications. Their research has implications for prosthetics, exoskeletons, and autonomous mobile robots, making complex inverse kinematics feasible on resource-constrained platforms. With a growing citation record, Zhang continues to influence the fields of FPGA-based computing and robotic control, inspiring new approaches to hardware-software co-design in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1