3 citations · 10 across the 9 of their papers we have counts for
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cs.RO2026
τ: Learning Touch-Augmented Vision-Language-Action Models from Future Visual Supervision
Ning Cheng, Jinan Xu, Wanlin Li +5
Incorporating tactile sensing into Vision-Language-Action (VLA) models holds promise for contact-rich manipulation, where visual observations alone often fail to capture critical c…
cs.RO2024★ 3 cited
Touch100k: A Large-Scale Touch-Language-Vision Dataset for Touch-Centric Multimodal Representation
Ning Cheng, Changhao Guan, Jing Gao +7
Touch holds a pivotal position in enhancing the perceptual and interactive capabilities of both humans and robots. Despite its significance, current tactile research mainly focuses…
cs.RO2023
Get the Ball Rolling: Alerting Autonomous Robots When to Help to Close the Healthcare Loop
Jiaxin Shen, Yanyao Liu, Ziming Wang +3
To facilitate the advancement of research in healthcare robots without human intervention or commands, we introduce the Autonomous Helping Challenge, along with a crowd-sourcing la…