Yann-Seing Law-Kam Cio
Papers
2
Total Citations
67
H-Index
2
About
Yann-Seing Law-Kam Cio is a researcher working at the intersection of assistive robotics, computer vision, and human-machine interfaces, with a focus on developing technologies that enhance the autonomy and quality of life for individuals with physical disabilities. His most influential work, "Proof of Concept of an Assistive Robotic Arm Control Using Artificial Stereovision and Eye-Tracking" (2019), has garnered 63 citations and represents a significant step forward in accessibility technology. By integrating eye-tracking with artificial stereovision, Law-Kam Cio and his collaborators demonstrated a compelling alternative to traditional joystick-based control systems for users with upper limb disabilities, enabling more intuitive interaction with robotic arms for everyday tasks such as grasping objects. His earlier work on novel electromagnetism-inspired convolution kernels for computer vision (2018) reflects a broader commitment to advancing foundational image analysis techniques applicable to automation and robotics. Across his research portfolio, Law-Kam Cio consistently bridges theoretical innovation with real-world application, making meaningful contributions to assistive technology and machine perception — fields of growing importance as robotics becomes increasingly integrated into healthcare and daily human life.
Research Focus
Key Achievements
Top Papers
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