Chang Han Wu
Papers
1
Total Citations
12
H-Index
1
About
Chang Han Wu is a leading researcher in robotics and intelligent control systems, with a focus on advanced optimization techniques for industrial automation. His work bridges the gap between bio-inspired algorithms and hardware implementation, notably through the development of a hybrid swarm intelligence system that integrates artificial immune systems with Taguchi–genetic algorithms. This approach, demonstrated in his highly cited 2016 paper, achieves optimal inverse kinematics for articulated robotic manipulators, enabling precise, real-time motion control. Wu’s innovation extends to field-programmable gate array (FPGA) realization, leveraging system-on-a-programmable-chip technology to enhance computational efficiency and adaptability in industrial settings. His contributions have garnered over 12 citations, reflecting their impact on robotics and embedded systems. By combining theoretical rigor with practical hardware deployment, Wu has advanced the capabilities of autonomous manipulators, offering scalable solutions for manufacturing and automation. His work continues to inspire researchers in swarm intelligence, mechatronics, and cyber-physical systems, positioning him as a key figure in the evolution of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1