3 citations · 7 across the 4 of their papers we have counts for
4 papers
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…
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…
Transformer in Touch: A Survey
Jing Gao, Ning Cheng, Bin Fang +1
The Transformer model, initially achieving significant success in the field of natural language processing, has recently shown great potential in the application of tactile percept…
Towards Comprehensive Multimodal Perception: Introducing the Touch-Language-Vision Dataset
Ning Cheng, You Li, Jing Gao +3
Tactility provides crucial support and enhancement for the perception and interaction capabilities of both humans and robots. Nevertheless, the multimodal research related to touch…