Hongkai Chen

Shandong Institute of Automation, Guangdong University of Technology

Papers

Total Citations

H-Index

About

Hongkai Chen is a researcher specializing in robotics, visual tracking, and humanoid robot design. His work bridges the gap between mechanical engineering and intelligent control systems, with a focus on enabling robots to interact more naturally with their environments. Chen’s most notable contribution is a novel pan-tilt camera control approach for visual tracking, published in 2014, which has garnered 13 citations. This work introduces an active disturbance rejection control method that uses target image features to dynamically guide a pan-tilt platform, allowing it to follow random movements with improved stability and precision—a key advancement for applications in surveillance, autonomous navigation, and human-robot interaction. Additionally, Chen has explored the mechanical design and kinematic control of a humanoid robot face (2019), contributing to the development of expressive robotic systems. While his citation counts reflect a growing influence, his research demonstrates a commitment to solving practical challenges in real-time control and mechanical design. Chen’s work is particularly relevant for students and researchers interested in the intersection of control theory, computer vision, and robotics, offering foundational insights into adaptive tracking and humanoid kinematics.