Ming-Kuang Wu
Papers
2
Total Citations
8
H-Index
2
About
Ming-Kuang Wu specializes in the hardware acceleration of robotic control systems, particularly through FPGA-based implementations. His primary research focuses on overcoming computational bottlenecks in robot manipulator kinematics by developing specialized hardware architectures. Wu's most significant contribution is the FPGA-based hardware implementation of arctangent and arccosine functions for inverse kinematics, a work that has garnered 6 citations. This research addresses a critical challenge: the complex mathematical functions required for inverse kinematics in articulated and SCARA robots are computationally intensive and difficult to realize on conventional processing systems. By creating dedicated hardware IP cores, Wu demonstrated how field-programmable gate arrays can dramatically accelerate these calculations, enabling real-time robot control. His related work on FPGA-realization of inverse kinematics control IP for articulated and SCARA robots further extends this contribution, showing a systematic approach to hardware-accelerated robotics. Wu's research is particularly valuable for applications requiring high-speed, deterministic robot motion control, where traditional software-based approaches fall short. His work bridges the gap between theoretical robotics algorithms and practical, real-time hardware implementation.
Research Focus
Key Achievements
Top Papers
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- 2