Chun-Kuan Chao
Papers
1
Total Citations
2
H-Index
1
About
Chun-Kuan Chao is a researcher specializing in robotics, computer vision, and human-machine interaction, with a particular focus on integrating visual perception with robotic manipulation. His work addresses the challenge of enabling robots to recognize and handle transparent objects—a notoriously difficult task for conventional vision systems due to their reflective and refractive properties. In his most cited paper, "Robotic Arm Combined with the Visual Images in a Transparent Object Recognition" (2020), Chao developed a system that uses a robot-mounted camera and coordinate transformation to identify transparent bottles, integrating LabView for precise pick-and-place operations. This contribution, though early in its citation impact, demonstrates a practical approach to overcoming visual ambiguity in industrial automation. Chao’s research bridges the gap between sensor data and robotic action, advancing the capabilities of autonomous systems in real-world environments. His work is particularly relevant for students and researchers exploring vision-guided robotics, offering a foundation for further innovation in object recognition and manipulation.
Research Focus
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Top Papers
- 1