Papers
13
Total Citations
162
H-Index
6
About
Hu Su is a pioneering roboticist whose research spans the dynamic intersection of robotics, acoustics, and intelligent control. His foundational work on ping-pong playing robots established him as a leading figure in high-speed ball trajectory prediction, where he developed analytic flying models accounting for spin and nonlinear fuzzy filtering techniques to predict striking positions with remarkable accuracy—his 2011 paper on spinning ball trajectory prediction has garnered 45 citations, while his 2013 work on fuzzy filtering for robotic ping-pong players earned 38 citations. Su’s innovative approach extends to active learning strategies for robot racket control, as demonstrated in his 2012 paper (26 citations), which integrates locally weighted regression to optimize ball return. More recently, Su has pioneered the application of physics-based deep learning to acoustic holography for robotic micro-nano manipulation, achieving real-time acoustic field reconstruction with his 2023 paper (11 citations) and advancing multiple sound source localization through robot motion exploitation. His 2024 works on acoustic holography with contrastive learning and 3D noncontact micro-particle manipulation under microscope represent cutting-edge contributions to noncontact manipulation, enabling precise control of individual particles in challenging environments. Su’s research demonstrates a remarkable trajectory from high-speed ball games to microscopic acoustic manipulation, showcasing his versatility and profound impact on robotic perception and control.
Research Focus
Key Achievements
Top Papers
- 1Trajectory prediction of spinning ball for ping-pong player robot45 citations · 2011
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- 3Adding Active Learning to LWR for Ping-Pong Playing Robot26 citations · 2012
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