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20242026
most citedWhen Vision Meets Touch: A Contemporary Review for Visuotactile Sensors from the Signal Processing Perspective

57 citations · 63 across the 19 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.RO2025

UMIGen: A Unified Framework for Egocentric Point Cloud Generation and Cross-Embodiment Robotic Imitation Learning

Yan Huang, Shoujie Li, Xingting Li +1

Data-driven robotic learning faces an obvious dilemma: robust policies demand large-scale, high-quality demonstration data, yet collecting such data remains a major challenge owing…

cs.RO2025

FlexiCup: Wireless Multimodal Suction Cup with Dual-Zone Vision-Tactile Sensing

Junhao Gong, Shoujie Li, Kit-Wa Sou +8

Conventional suction cups lack sensing capabilities for contact-aware manipulation in unstructured environments. This paper presents FlexiCup, a multimodal suction cup with wireles…

cs.CV2025

Universal Visuo-Tactile Video Understanding for Embodied Interaction

Yifan Xie, Mingyang Li, Shoujie Li +5

Tactile perception is essential for embodied agents to understand physical attributes of objects that cannot be determined through visual inspection alone. While existing approache…

cs.RO2025

VTire: A Bimodal Visuotactile Tire with High-Resolution Sensing Capability

Shoujie Li, Jianle Xu, Tong Wu +5

Developing smart tires with high sensing capability is significant for improving the moving stability and environmental adaptability of wheeled robots and vehicles. However, due to…

cs.CV2025

PUGS: Zero-shot Physical Understanding with Gaussian Splatting

Yinghao Shuai, Ran Yu, Yuantao Chen +9

Current robotic systems can understand the categories and poses of objects well. But understanding physical properties like mass, friction, and hardness, in the wild, remains chall…

cs.RO2025

Exo-ViHa: A Cross-Platform Exoskeleton System with Visual and Haptic Feedback for Efficient Dexterous Skill Learning

Xintao Chao, Shilong Mu, Yushan Liu +4

Imitation learning has emerged as a powerful paradigm for robot skills learning. However, traditional data collection systems for dexterous manipulation face challenges, including…

cs.RO2025

AVR: Active Vision-Driven Precise Robot Manipulation with Viewpoint and Focal Length Optimization

Yushan Liu, Shilong Mu, Xintao Chao +7

Robotic manipulation in complex scenes demands precise perception of task-relevant details, yet fixed or suboptimal viewpoints often impair fine-grained perception and induce occlu…