Fujun Song
Papers
2
Total Citations
16
H-Index
2
About
Fujun Song is a robotics researcher whose work focuses on the intersection of medical robotics and bio-inspired locomotion, with key contributions in human-robot collaboration and soft robotics. His most notable work addresses a critical challenge posed by the COVID-19 pandemic: the development of a remote human-robot collaborative impedance control strategy for pharyngeal swab sampling robots. This research, which has garnered 12 citations, proposes a novel control framework that enables safe, remote sampling while mitigating the risk of infection for healthcare workers, addressing both network latency and force-sensitive interaction. Additionally, Song has explored the dynamic modeling and analysis of underwater swimming snake robots with soft joints, contributing to the field of soft robotics and bio-inspired underwater locomotion. His work on the snake robot, while earlier in its citation trajectory, demonstrates his versatility in applying robotics principles across medical and aquatic environments. Song’s research is particularly impactful for its practical relevance during global health crises and its innovative integration of impedance control with teleoperation, offering a template for future remote medical interventions.
Research Focus
Key Achievements
Top Papers
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- 2