Li-Wei Kang
Papers
1
Total Citations
3
H-Index
1
About
Li-Wei Kang is a researcher specializing in intelligent robotic manipulation, computer vision, and automated assembly systems. His work bridges the gap between robotic perception and dexterous physical interaction, with a focus on enabling robots to perform complex assembly tasks through adaptive control and visual recognition. A key contribution is his 2023 study on integrating robotic vision with automatic tool changers using sequential motion primitives, which demonstrates how decision trees and visual feedback can enhance a robotic arm’s ability to autonomously select and execute assembly steps. This work, though early in its citation impact (3 citations), addresses a critical challenge in manufacturing: improving programming efficiency and action diversity in robotic systems. Kang’s research has implications for smart factories and human-robot collaboration, where flexible, vision-guided manipulation is essential. His approach to combining motion planning with real-time visual recognition marks a step toward more autonomous and adaptable industrial robots. As his citation count grows, Kang’s contributions are poised to influence the next generation of intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1