Raghava Uppuluri — accepted AI-conference papers

2025

UniT: Data Efficient Tactile Representation With Generalization to Unseen Objects

Zhengtong Xu, Raghava Uppuluri, Xinwei Zhang, Cael Fitch, Philip G. Crandall, Wan Shou +2

RA-L 2025

UniT is an approach to tactile representation learning, using VQGAN to learn a compact latent space and serve as the tactile representation. It uses tactile images obtained from a single simple object to train the representation with generalizability. This tactile representation can be zero-shot tra

Cited by 30 Source ↗code ↗Scholar ↗

2024

SeeBelow: Sub-dermal 3D Reconstruction of Tumors with Surgical Robotic Palpation and Tactile Exploration

Raghava Uppuluri, Abhinaba Bhattacharjee, Sohel Anwar, Yu She

IROS 2024poster

Surgical scene understanding in Robot-assisted Minimally Invasive Surgery (RMIS) is highly reliant on visual cues and lacks tactile perception. Force-modulated surgical palpation with tactile feedback is necessary for localization, geometry/depth estimation, and dexterous exploration of abnormal sti…

Cited by 0 Source ↗Scholar ↗