Papers

4

Total Citations

32

H-Index

4

About

Kishore Srinivas is pioneering the intersection of robotics and medicine, with key research spanning telesurgery, autonomous surgical procedures, and semantic mapping. His most impactful work introduces a digital twin framework for telesurgery that compensates for varying network quality of service, enabling remote surgical expertise in underserved areas—a contribution cited 13 times and recognized for its potential to democratize access to specialized care. Srinivas further advances surgical robotics by automating vascular shunt insertion using the dVRK system, a critical procedure for trauma care that earned 7 citations. Beyond the operating room, he develops Language-Embedded Gaussian Splats (LEGS), a mobile robot mapping system that builds room-scale, semantically rich 3D representations, achieving 7 citations and enabling intuitive object search in complex environments. His creative “Busboy Problem” tackles efficient tableware decluttering through multi-object grasps, introducing the Objects per Trip metric to optimize robotic efficiency. Srinivas’s work uniquely bridges high-stakes medical automation with everyday robotic manipulation, demonstrating a rare ability to solve fundamental challenges across domains. His contributions are shaping the future of autonomous systems in both clinical and domestic settings.

Research Focus

Key Achievements

4
H-Index
4
Papers
32
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A Digital Twin Framework for Telesurgery in the Presence of Varying Network Quality of Service
13 citations · 2022
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: Berkeley Systems (United States), University of California, Berkeley

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago