Qiguang Chen
Papers
4
Total Citations
18
H-Index
3
About
Qiguang Chen is a leading researcher in collaborative robotics, with a focus on human-robot interaction, intelligent control, and vision-based manipulation. His work bridges the gap between human dexterity and robotic precision, advancing the field of cobots that can safely and efficiently assist in complex tasks. Chen’s major contributions include developing a novel admittance-based non-singular terminal sliding mode control for multiple cooperative manipulators, enabling robust and compliant object handling. He also pioneered a real-time vision-based framework using MediaPipe to track human hand motion for robotic imitation, achieving human-like grasping in pick-and-place operations. His research on camera-based impedance control for robotic pick-and-handover maneuvers demonstrates practical applications in fruit handling, showcasing seamless integration of perception and control. With multiple papers each garnering 5 citations in 2023-2024, Chen’s work is gaining traction for its innovative fusion of vision, control theory, and human-robot collaboration. His achievements highlight a commitment to making robots more intuitive and adaptable, promising safer and more efficient human-robot teamwork in manufacturing, healthcare, and service industries.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4