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Lin Shu

2 papers indexed

arxivcs.CVcs.RO2026-07-16

VQ-Touch: A Data-Efficient Tactile Generation Framework Across Sensors and Scenarios

Kailin Lyu, Long Xiao, Jianing Zeng, Di Wu, Lin Shu, Jie Hao

Tactile image generation significantly reduces the dependency on expensive and wear-prone sensors by synthesizing high-fidelity tactile data, offering an efficient solution for tactile information acquisition in robotic perception and human-machine interaction systems. However, e…

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arxivcs.AI2026-07-06

TacReasoner: A Dynamic Tactile-Language Framework for Interactive Reasoning in Real-World Scenarios

Kailin Lyu, Di Wu, Long Xiao, Jianning Zeng, Jianwei He, Chang Lin, et al.

Among the five primary human senses, tactile is arguably the most fundamental to survival, as it enables the perception of physical contact and interaction in real-world environments. In this paper, we explore two key challenges of integrating tactile sensing into intelligent sys…

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