Papers

2

Total Citations

4

H-Index

2

About

Yibo Qin is an emerging robotics researcher whose work focuses on the intersection of medical robotics and autonomous navigation in specialized environments. His key research areas include surgical robotic systems, teleoperation control, and semantic SLAM for industrial applications. In his 2023 study on surgical robotics, Qin proposed a novel robotic system for endotracheal intubation using a laryngeal mask-based end-effector, addressing critical challenges in teleoperated medical procedures. This work demonstrates his commitment to developing practical robotic solutions for high-stakes clinical tasks. More recently, in 2024, Qin introduced GY-SLAM, a dense semantic SLAM system specifically designed for plant factory transport robots. This system overcomes the limitations of traditional SLAM in dynamic environments, enabling more reliable autonomous navigation in agricultural and industrial settings. While his papers currently hold 2 citations each, reflecting the early stage of his career, Qin’s contributions are notable for their targeted problem-solving approach—bridging gaps between robotic theory and real-world deployment in both healthcare and precision agriculture. His work signals a promising trajectory in applied robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
4
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Surgical Robotic System for Endotracheal Intubation Based on Laryngeal Mask
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Shanghai Jiao Tong University, Henan University of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago