Kuo-Liang Huang

Overseas Chinese University, Sichuan Fine Arts Institute

Papers

Total Citations

H-Index

About

Kuo-Liang Huang is a researcher at the forefront of human-robot interaction and assistive robotics, with a particular focus on gesture-based control and social robotics for elderly care. His most cited work, "The Manipulation of Real-Time Kinect-Based Robotic Arm Using Double-Hand Gestures" (2020, 7 citations), demonstrates a novel approach to intuitive robotic control by integrating Kinect depth sensors with microprocessor systems, enabling real-time, dual-hand gesture tracking for robotic arm manipulation. This work bridges the gap between natural human movement and robotic precision, offering a foundation for accessible, non-contact interfaces. Huang further extends his impact into socially assistive domains, exploring how emotional design principles can enhance the acceptance of intelligent companion robots among Chinese empty-nesters (2022, 4 citations), and providing a practical framework for designing smart care robots for the aging population (2023, 2 citations). His research addresses critical societal challenges—aging demographics and human-robot trust—by combining technical innovation with user-centered design. Huang’s contributions are shaping the future of assistive robotics, making technology more empathetic and accessible for vulnerable populations.