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20242026
most citedRoTipBot: Robotic Handling of Thin and Flexible Objects using Rotatable Tactile Sensors

1 citations · 1 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2026

HapTile: A Haptic-Informed Vision-Tactile-Language-Action Dataset for Contact-Rich Imitation Learning

Amirhosein Alian, Yongqiang Zhao, Shiyi Gu +5

Despite the importance of tactile sensing for reliable manipulation, most existing Vision-Language-Action (VLA) datasets remain vision-only, and those that do incorporate tactile i…

cs.RO2026

Visual-Tactile Peg-in-Hole Assembly Learning from Peg-out-of-Hole Disassembly

Yongqiang Zhao, Xuyang Zhang, Zhuo Chen +3

Peg-in-hole (PiH) assembly is a fundamental yet challenging robotic manipulation task. While reinforcement learning (RL) has shown promise in tackling such tasks, it requires exten…

cs.RO2026

UniForce: A Unified Latent Force Model for Robot Manipulation with Diverse Tactile Sensors

Zhuo Chen, Fei Ni, Kaiyao Luo +7

Force sensing is essential for dexterous robot manipulation, but scaling force-aware policy learning is hindered by the heterogeneity of tactile sensors. Differences in sensing pri…

cs.RO2025

SimTac: A Physics-Based Simulator for Vision-Based Tactile Sensing with Biomorphic Structures

Xuyang Zhang, Jiaqi Jiang, Zhuo Chen +5

Tactile sensing in biological organisms is deeply intertwined with morphological form, such as human fingers, cat paws, and elephant trunks, which enables rich and adaptive interac…

cs.RO2025

ViTacGen: Robotic Pushing with Vision-to-Touch Generation

Zhiyuan Wu, Yijiong Lin, Yongqiang Zhao +4

Robotic pushing is a fundamental manipulation task that requires tactile feedback to capture subtle contact forces and dynamics between the end-effector and the object. However, re…

cs.RO2025

CEDex: Cross-Embodiment Dexterous Grasp Generation at Scale from Human-like Contact Representations

Zhiyuan Wu, Rolandos Alexandros Potamias, Xuyang Zhang +3

Cross-embodiment dexterous grasp synthesis refers to adaptively generating and optimizing grasps for various robotic hands with different morphologies. This capability is crucial f…

cs.RO2025

Training Tactile Sensors to Learn Force Sensing from Each Other

Zhuo Chen, Ni Ou, Xuyang Zhang +8

Humans achieve stable and dexterous object manipulation by coordinating grasp forces across multiple fingers and palms, facilitated by a unified tactile memory system in the somato…

cs.RO2024

RoTip: A Finger-Shaped Tactile Sensor with Active Rotation Capability

Xuyang Zhang, Jiaqi Jiang, Shan Luo

In recent years, advancements in optical tactile sensor technology have primarily centred on enhancing sensing precision and expanding the range of sensing modalities. To meet the…

cs.RO2024

TransForce: Transferable Force Prediction for Vision-based Tactile Sensors with Sequential Image Translation

Zhuo Chen, Ni Ou, Xuyang Zhang +1

Vision-based tactile sensors (VBTSs) provide high-resolution tactile images crucial for robot in-hand manipulation. However, force sensing in VBTSs is underutilized due to the cost…

cs.RO2024★ 1 cited

RoTipBot: Robotic Handling of Thin and Flexible Objects using Rotatable Tactile Sensors

Jiaqi Jiang, Xuyang Zhang, Daniel Fernandes Gomes +2

This paper introduces RoTipBot, a novel robotic system for handling thin, flexible objects. Different from previous works that are limited to singulating them using suction cups or…