Xiaokun Dai

Fudan University

Papers

1

Total Citations

5

H-Index

1

About

Dr. Xiaokun Dai is a pioneering researcher at the forefront of surgical robotics and human-computer interaction, with a specialized focus on non-contact control systems for medical applications. Their most impactful work, "A non-contact interactive system for multimodal surgical robots based on LeapMotion and visual tags" (2023), addresses a critical challenge in modern surgery: the risk of bacterial infection from conventional contact-based interfaces. By developing a gesture-driven, multimodal control system that combines LeapMotion sensors with visual tags, Dr. Dai has created a safer, more intuitive method for surgeons to operate robotic tools without physical contact. This innovation has already garnered 5 citations, signaling its growing influence in the field. Dr. Dai’s contributions are particularly vital as minimally invasive surgery becomes more prevalent, offering a pathway to reduce infection risks while enhancing surgical precision. Their work stands as a notable achievement in bridging robotics, computer vision, and patient safety, positioning them as an emerging leader in next-generation surgical technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A non-contact interactive system for multimodal surgical robots based on LeapMotion and visual tags
5 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Fudan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago