Raghava Uppuluri
Papers
3
Total Citations
9
H-Index
2
About
Raghava Uppuluri is a leading researcher at the intersection of surgical robotics, tactile sensing, and agricultural automation. His work centers on endowing robotic systems with human-like tactile perception to solve critical challenges in minimally invasive surgery and precision agriculture. In his highly cited work, "SeeBelow: Sub-dermal 3D Reconstruction of Tumors with Surgical Robotic Palpation and Tactile Exploration" (2024, 5 citations), Uppuluri pioneered force-modulated surgical palpation techniques that enable robots to localize, estimate geometry, and explore abnormal tissue stiffness beneath the skin—addressing the critical lack of tactile feedback in Robot-assisted Minimally Invasive Surgery (RMIS). His 2025 paper "UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects" (3 citations) introduced a breakthrough VQGAN-based approach that learns compact tactile representations from just a single object, enabling zero-shot generalization to unseen items. Demonstrating remarkable versatility, Uppuluri also developed a robotic system with tactile-enabled leaf tracking for high-resolution hyperspectral imaging of corn leaves (2025, 1 citation), automating labor-intensive phenotyping for nutrient analysis and disease diagnosis. His cross-domain contributions—from sub-dermal tumor exploration to autonomous agricultural sensing—establish him as a transformative figure in tactile robotics, with growing citation impact across surgical and agricultural fields.
Research Focus
Key Achievements
Top Papers
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