activity
20232026
most citedSparsh: Self-supervised touch representations for vision-based tactile sensing

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

SAM 3D Body: Robust Full-Body Human Mesh Recovery

Xitong Yang, Devansh Kukreja, Don Pinkus +11

We introduce SAM 3D Body (3DB), a promptable model for single-image full-body 3D human mesh recovery (HMR) that demonstrates state-of-the-art performance, with strong generalizatio…

cs.RO2025

Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation

Carolina Higuera, Akash Sharma, Taosha Fan +8

We present Sparsh-X, the first multisensory touch representations across four tactile modalities: image, audio, motion, and pressure. Trained on ~1M contact-rich interactions colle…

cs.RO2025

Self-supervised perception for tactile skin covered dexterous hands

Akash Sharma, Carolina Higuera, Chaithanya Krishna Bodduluri +9

We present Sparsh-skin, a pre-trained encoder for magnetic skin sensors distributed across the fingertips, phalanges, and palm of a dexterous robot hand. Magnetic tactile skins off…

cs.RO20241 cited

Sparsh: Self-supervised touch representations for vision-based tactile sensing

Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri +8

In this work, we introduce general purpose touch representations for the increasingly accessible class of vision-based tactile sensors. Such sensors have led to many recent advance…

cs.RO2023

Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation

Sudharshan Suresh, Haozhi Qi, Tingfan Wu +9

To achieve human-level dexterity, robots must infer spatial awareness from multimodal sensing to reason over contact interactions. During in-hand manipulation of novel objects, suc…