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Chaithanya Krishna Bodduluri

4 papers hereh-index 5163 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO4

identity via Semantic Scholar / OpenAlex

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

4 papers

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.RO2025

DexterityGen: Foundation Controller for Unprecedented Dexterity

Zhao-Heng Yin, Changhao Wang, Luis Pineda +11

Teaching robots dexterous manipulation skills, such as tool use, presents a significant challenge. Current approaches can be broadly categorized into two strategies: human teleoper…

cs.RO2024★ 1 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…

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