activity
20202026
most citedCompositional Scalable Object SLAM

2 citations · 3 across the 8 of their papers we have counts for

collaborators

10 papers

cs.RO2026

Dexterity from Supervised Play

Botao He, Yiming Dou, Yiannis Aloimonos +3

How can robots autonomously collect the contact-rich experience needed to learn dexterous manipulation? We present DSP: Dexterity from supervised play, a framework in which a robot…

cs.RO2026

GOTT: Object-centric Dexterous Manipulation with a Reusable Cross-Embodiment Primitive

Yulin Liu, Lai Wei, Yen-Jen Wang +4

Foundation models and large-scale human data provide rich sources of manipulation intent, but translating this intent into multi-fingered robot behavior remains difficult. Dexterou…

cs.CV2025

Any4D: Unified Feed-Forward Metric 4D Reconstruction

Jay Karhade, Nikhil Keetha, Yuchen Zhang +4

We present Any4D, a scalable multi-view transformer for metric-scale, dense feed-forward 4D reconstruction. Any4D directly generates per-pixel motion and geometry predictions for N…

cs.RO2025

Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-the-Wild Human Demonstrations

Irmak Guzey, Haozhi Qi, Julen Urain +10

Learning multi-fingered robot policies from humans performing daily tasks in natural environments has long been a grand goal in the robotics community. Achieving this would mark si…

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.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…

cs.RO2020★ 2 cited

Compositional Scalable Object SLAM

Akash Sharma, Wei Dong, Michael Kaess

We present a fast, scalable, and accurate Simultaneous Localization and Mapping (SLAM) system that represents indoor scenes as a graph of objects. Leveraging the observation that a…