Nimesh Nagururu

Johns Hopkins Medicine, Johns Hopkins University

Papers

2

Total Citations

16

H-Index

2

About

Nimesh Nagururu is a pioneering researcher in the intersection of robotic surgery, haptics, and neurosurgical safety. His work focuses on enhancing situational awareness and force control in robot-assisted skull base surgery—a field where millimeter-level precision is critical to avoid damaging delicate nerves and vasculature. Nagururu’s major contributions include developing a haptic-assisted collaborative robot framework that integrates real-time force feedback with surgical navigation, enabling surgeons to “feel” tissue resistance and anatomical boundaries during procedures. This innovation directly addresses the limitations of traditional image-guided systems, which lack tactile feedback. His 2024 paper, “Haptic-Assisted Collaborative Robot Framework for Improved Situational Awareness in Skull Base Surgery,” has already garnered 9 citations, reflecting its immediate impact on surgical robotics. In “Beyond the Manual Touch: Situational-Aware Force Control for Increased Safety in Robot-Assisted Skullbase Surgery” (7 citations), he further advances safety protocols by introducing adaptive force thresholds that prevent inadvertent tissue damage. Nagururu’s work is notable for translating complex haptic algorithms into clinically viable tools, bridging the gap between robotic precision and human intuition. His research promises to redefine standards of care in minimally invasive neurosurgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Haptic-Assisted Collaborative Robot Framework for Improved Situational Awareness in Skull Base Surgery
9 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Johns Hopkins Medicine, Johns Hopkins University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago