Papers

3

Total Citations

158

H-Index

3

About

Jingran Su is a pioneering researcher at the intersection of robotics, sensing, and biomedical engineering, whose work spans autonomous vehicle perception and next-generation medical capsule robots. Su’s most impactful contribution is a novel millimeter-wave radar point cloud generation method for robot environment perception (2022, 96 citations), which addresses a critical challenge in autonomous driving by enabling robust perception under harsh weather conditions where traditional sensors fail. In the biomedical domain, Su has made significant strides in wireless capsule endoscopy, introducing an integrated design for decoupled control of anchoring and drug release (2021, 47 citations) that enables targeted drug delivery in the lower GI tract using a single internal magnet. Most recently, Su developed an inchworm-like biomimetic magnetic-driven robotic shell (2024, 15 citations) that provides active locomotion for capsule endoscopes, overcoming the limitations of passive intestinal peristalsis. This work represents a paradigm shift in gastrointestinal diagnostics, transforming passive imaging capsules into active, controllable robotic platforms. With over 158 citations across these key publications, Su’s research demonstrates a remarkable ability to bridge fundamental engineering challenges with practical medical applications, establishing them as an emerging leader in both autonomous systems and medical robotics.

Research Focus

Key Achievements

3
H-Index
3
Papers
158
Total Citations
53
Avg Citations/Paper
🏆 Most Cited Paper
A Novel Radar Point Cloud Generation Method for Robot Environment Perception
96 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Northwestern Polytechnical University, Qilu Hospital of Shandong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago