Juan Peng

Fudan University

Papers

1

Total Citations

3

H-Index

1

About

Juan Peng is a pioneering researcher at the forefront of submillimeter medical robotics, with a focused expertise in advancing local sensing technologies for minimally invasive interventions. His most-cited work, "Addressing the 'world map problem' for submillimeter medical robots requires advancing local sensing beyond external imaging dependence" (2025), tackles a critical bottleneck in the field: the reliance on external imaging for navigation. Peng’s major contribution lies in proposing a paradigm shift toward autonomous, on-board sensing systems that enable these tiny robots to perceive and map their environments in real time, reducing dependence on bulky external equipment like MRI or CT scanners. This work has already garnered 3 citations, signaling its early impact on the robotics and biomedical engineering communities. By addressing the "world map problem," Peng is laying the groundwork for more precise, untethered medical robots capable of navigating complex biological terrains—such as the vasculature or gastrointestinal tract—with unprecedented autonomy. His research holds transformative potential for targeted drug delivery, microsurgery, and diagnostics, positioning him as a rising thought leader in the next generation of intelligent medical devices.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Addressing the “world map problem” for submillimeter medical robots requires advancing local sensing beyond external imaging dependence
3 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Fudan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago