most citedViTacFormer: Learning Cross-Modal Representation for Visuo-Tactile Dexterous Manipulation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

7 papers

cs.RO2026

FTP-1: A Generalist Foundation Tactile Policy Across Tactile Sensors for Contact-Rich Manipulation

Chengbo Yuan, Zicheng Zhang, Mingjie Zhou +14

Despite the success of vision-based generalist robotic policies, existing tactile-based policies remain tied to fixed embodiments and sensor setups. This is because tactile signals…

cs.RO2026

UniLab: A Heterogeneous Architecture for Robot RL Beyond GPU-Dominant Paradigms

Yufei Jia, Zhanxiang Cao, Mingrui Yu +48

Simulation-based RL for contemporary robot control is increasingly organized around GPU-resident simulation: physics, rollout collection, and learning are placed on a single GPU-ce…

cs.RO20261 cited

ViTacFormer: Learning Cross-Modal Representation for Visuo-Tactile Dexterous Manipulation

Liang Heng, Haoran Geng, Kaifeng Zhang +2

Dexterous manipulation is a cornerstone capability for robotic systems aiming to interact with the physical world in a human-like manner. Although vision-based methods have advance…

cs.RO2026

Towards Human-Like Manipulation through RL-Augmented Teleoperation and Mixture-of-Dexterous-Experts VLA

Tutian Tang, Xingyu Ji, Wanli Xing +7

While Vision-Language-Action (VLA) models have demonstrated remarkable success in robotic manipulation, their application has largely been confined to low-degree-of-freedom end-eff…

cs.RO2026

DexEMG: Towards Dexterous Teleoperation System via EMG2Pose Generalization

Qianyou Zhao, Wenqiao Li, Chiyu Wang +1

High-fidelity teleoperation of dexterous robotic hands is essential for bringing robots into unstructured domestic environments. However, existing teleoperation systems often face…

cs.RO2026

Spatially anchored Tactile Awareness for Robust Dexterous Manipulation

Jialei Huang, Yang Ye, Yuanqing Gong +3

Dexterous manipulation requires precise geometric reasoning, yet existing visuo-tactile learning methods struggle with sub-millimeter precision tasks that are routine for tradition…