Yunuscan Sevimli

Johns Hopkins University

Papers

3

Total Citations

23

H-Index

3

About

Yunuscan Sevimli is a robotics researcher whose work centers on modular robotic systems and surgical robotics, with a particular focus on autonomous repair and precision calibration. His most impactful contribution is the Hex-DMR II system, a modular robot capable of autonomous team repair—a breakthrough that addresses a critical challenge in robotics: maintaining functionality in remote or hazardous environments where human intervention is limited. This work, cited 10 times, demonstrates his ability to design systems that are both reconfigurable and robust against faults. In the domain of surgical robotics, Sevimli developed a novel calibration method for the Robotic Endoscopic Microsurgical System (REMS), combining hand-eye calibration with Bernstein polynomials to achieve high stereotactic accuracy. This work, cited 8 times, is notable for its practical test protocol that enhances the precision of minimally invasive procedures. His research on functionally non-isomorphic configurations of modular robots further underscores his expertise in creating low-cost, mass-producible systems. With a total of over 20 citations across his key papers, Sevimli’s contributions bridge the gap between theoretical modular design and real-world applications in surgery and autonomous robotics, making him a promising figure in the field.

Research Focus

Key Achievements

3
H-Index
3
Papers
23
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A Robot Capable of Autonomous Robotic Team Repair: The Hex-DMR II System
10 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Johns Hopkins University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago