Papers
5
Total Citations
113
H-Index
5
About
Guangbin Sun is a robotics researcher whose work bridges the gap between perception and manipulation in dynamic environments. His primary research focuses on robotic manipulation, computer vision, and human-robot interaction, with a particular emphasis on enabling robots to handle cylindrical objects—a common challenge in industrial and domestic settings. Sun’s major contributions include developing fast ellipse detection algorithms that allow robots to recognize and track objects like cans, cups, and pipes in real-time, a critical capability for warehouse automation and household assistance. His most cited work, "Real-Time Robotic Manipulation of Cylindrical Objects in Dynamic Scenarios Through Elliptic Shape Primitives" (52 citations), demonstrates a robust system for multi-object tracking and pose estimation. Sun has also explored assistive robotics, notably designing a home-auxiliary robot controlled via brain-computer interface (BCI) to aid individuals with physical disabilities, as well as advancing robot arm control through neural network-based sliding mode controllers. His work on bipedal locomotion, including a novel pattern generator for walking on uneven terrain, further showcases his versatility. With a growing citation record, Sun’s research continues to impact both practical robotics applications and the broader field of autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 3Study of the Home-Auxiliary Robot Based on BCI18 citations · 2018
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