Fuchun Sun
Tsinghua University, Chinese Academy of Sciences, Beijing University of Posts and Telecommunications, Shenyang Institute of Automation, Shenzhen University, Shenzhen Institute of Information Technology, Intelligent Health (United Kingdom), Center for Information Technology, East Asia School of Theology, Corvallis Environmental Center, Robert Bosch (India), National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Artificial Intelligence, Fudan University, Institute of Applied Technology
Papers
240
Total Citations
9,487
H-Index
43
About
Fuchun Sun is a pioneering researcher whose work spans robotics, deep learning, and human-robot interaction, with contributions that have fundamentally shaped how intelligent systems perceive, learn, and interact with the physical world. His landmark 2018 survey on deep transfer learning, amassing nearly 2,900 citations, stands as one of the field's most authoritative references, reflecting his broad influence on the machine learning community. Sun has made significant strides in robotic perception, developing hybrid deep architectures that fuse visual and tactile sensing for grasp detection, and advancing tactile-based object recognition through kernel sparse coding methods. His research extends into soft robotics and flexible sensing, including innovative bimodal smart skin interfaces that enable touchless human teaching of soft robots. Sun has also contributed meaningfully to assistive technology, designing sEMG-based control systems for upper-limb exoskeletons and data-glove systems for gesture recognition. His survey on imitation learning further demonstrates his commitment to bridging human expertise and robotic capability. With a portfolio exceeding 4,400 citations across these diverse domains, Sun's interdisciplinary vision continues to drive robotics research toward more adaptive, perceptive, and human-centered systems.
Research Focus
Key Achievements
Top Papers
- 1A Survey on Deep Transfer Learning2,857 citations · 2018
- 2
- 3A hybrid deep architecture for robotic grasp detection219 citations · 2017
- 4sEMG-Based Joint Force Control for an Upper-Limb Power-Assist Exoskeleton Robot193 citations · 2014
- 5Object Recognition Using Tactile Measurements: Kernel Sparse Coding Methods188 citations · 2016
- 6Survey of imitation learning for robotic manipulation181 citations · 2019
- 7
- 8Hardware Technology of Vision-Based Tactile Sensor: A Review150 citations · 2022
- 9
- 103D human gesture capturing and recognition by the IMMU-based data glove120 citations · 2017