Towards Comprehensive Multimodal Perception: Introducing the Touch-Language-Vision Dataset
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Abstract (arXiv)
Tactility provides crucial support and enhancement for the perception and interaction capabilities of both humans and robots. Nevertheless, the multimodal research related to touch primarily focuses on visual and tactile modalities, with limited exploration in the domain of language. Beyond vocabulary, sentence-level descriptions contain richer semantics. Based on this, we construct a touch-language-vision dataset named TLV (Touch-Language-Vision) by human-machine cascade collaboration, featuring sentence-level descriptions for multimode alignment. The new dataset is used to fine-tune our proposed lightweight training framework, STLV-Align (Synergistic Touch-Language-Vision Alignment), achieving effective semantic alignment with minimal parameter adjustments (1%). Project Page: https://xiaoen0.github.io/touch.page/.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 33 of its 44 references that are in the map. First posted on arXiv 14 Mar 2024.
Builds on
33 of 44 references.
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21 more
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Built on by
Citing papers per year: 2025: 4; 2026: 2.
6 papers.
- 2025Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Groundingcited by 40
- 2025HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signalscited by 3
- 2025RA-Touch: Retrieval-Augmented Touch Understanding with Enriched Visual Datacited by 2
- 2026Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigmscited by 2
- 2025HapticLLaMA: A Multimodal Sensory Language Model for Haptic Captioningcited by 0
- 2026RCT: A Robot-Collected Touch-Vision-Language Dataset for Tactile Generalizationcited by 0
- 2026RCT: A Robot-Collected Touch-Vision-Language Dataset for Tactile Generalization30 Jun 2026
- 2026Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms17 May 2026
- 2025HapticLLaMA: A Multimodal Sensory Language Model for Haptic Captioning8 Aug 2025
- 2025HapticCap: A Multimodal Dataset and Task for Understanding User Experience of Vibration Haptic Signals17 Jul 2025
- 2025RA-Touch: Retrieval-Augmented Touch Understanding with Enriched Visual Data20 May 2025
- 2025Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding8 Jan 2025