most citedV-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

5 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation

Rosy Chen, Mustafa Mukadam, Michael Kaess +4

Tactile dexterous manipulation is essential to automating complex household tasks, yet learning effective control policies remains a challenge. While recent work has relied on imit…

cs.RO2026

Visuo-Tactile World Models

Carolina Higuera, Sergio Arnaud, Byron Boots +3

We introduce multi-task Visuo-Tactile World Models (VT-WM), which capture the physics of contact through touch reasoning. By complementing vision with tactile sensing, VT-WM better…

cs.RO2025

SPIDER: Scalable Physics-Informed Dexterous Retargeting

Chaoyi Pan, Changhao Wang, Haozhi Qi +8

Learning agile robotic policies requires large-scale demonstrations, but translating abundant human motion data to robots is bottlenecked by the embodiment gap and missing dynamic…

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.AI2025★ 5 cited

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Mido Assran, Adrien Bardes, David Fan +27

A major challenge for modern AI is to learn to understand the world and learn to act largely by observation. This paper explores a self-supervised approach that combines internet-s…

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…