Touch holds a pivotal position in enhancing the perceptual and interactive capabilities of both humans and robots. Touch100k dataset features tactile sensation descriptions at a large scale, enabling advanced multimodal representation learning. TLV-Link pre-training method significantly improves tactile representation and zero-shot touch understanding. This dataset opens new avenues for research in touch-centric multimodal representation.

• Touch100k dataset revolutionizes touch-language-vision multimodal representations.
• TLV-Link pre-training method enhances tactile representation learning.
• Enables zero-shot touch understanding for improved robotic interactions.
• Establishes a new state-of-the-art in touch-centric multimodal representation learning.