Papers
7
Total Citations
120
H-Index
3
About
Han Pan is a pioneering researcher at the intersection of soft robotics and advanced image processing, with a focus on space applications and intelligent control systems. His major contributions lie in developing shape memory alloy (SMA)-driven soft robots for on-orbit servicing, where he has introduced novel reinforcement learning algorithms for position control and target searching—achieving over 50 citations for his work on deep visual servo control. Pan’s research has significantly advanced the manipulation and configuration of soft robotics in space environments, demonstrating how biomimetic designs can be precisely controlled using continuous reinforcement learning. With over 120 total citations, his most influential work includes an overview of soft robotics for orbital servicing (54 citations) and a distance-directed target searching method for SMA-driven robots (50 citations). Beyond robotics, Pan has made notable contributions to image restoration and fusion, developing regularization techniques using total generalized variation and lp-norm methods for hyperspectral and multibeam imaging sonar applications. His interdisciplinary approach—bridging soft robotics, reinforcement learning, and computational imaging—positions him as a key innovator in creating intelligent, adaptive systems for challenging environments.
Research Focus
Key Achievements
Top Papers
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- 6Multibeam Imaging Sonar Image Fusion via -total Variation Model2 citations · 2023
- 7Multiband image fusion using total generalized variation regularization2 citations · 2021