Papers
73
Total Citations
1,089
H-Index
18
About
Jianbo Su is a prominent robotics researcher whose work spans robot control, visual servoing, human-robot interaction, and autonomous skill acquisition. His research has made significant contributions to the field of uncalibrated robotic systems, particularly in developing calibration-free approaches to eye-hand coordination. Rather than relying on conventional image Jacobian matrix methods, Su pioneered the use of auto disturbance-rejection controllers and extended state observers to handle unknown hand-eye relationships, eliminating the need for precise system calibration — work that has garnered over 180 combined citations across two landmark 2004 papers. His influential contributions to disturbance observer design for flexible-joint manipulators and humanoid joint control have further shaped robust robot control methodology. Su also advanced stereo vision feedback systems through Kalman-Bucy filter-based online estimation, earning 85 citations. More recently, he has expanded into deep reinforcement learning for robotic skill acquisition and the aesthetically rich challenge of robotic Chinese calligraphy. With over 600 total citations across his most recognized works, Su's research consistently bridges theoretical rigor with real-world robotic applications, making him a notable figure in intelligent robotics and autonomous control systems.
Research Focus
Key Achievements
Top Papers
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- 8Aesthetics Evaluation for Robotic Chinese Calligraphy40 citations · 2016
- 9Motion Compression for Telepresence Locomotion39 citations · 2007
- 10Robust approach for humanoid joint control based on a disturbance observer25 citations · 2011