8 citations · 23 across the 12 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.RO2024★ 3 cited
Digitizing Touch with an Artificial Multimodal Fingertip
Mike Lambeta, Tingfan Wu, Ali Sengul +20
Touch is a crucial sensing modality that provides rich information about object properties and interactions with the physical environment. Humans and robots both benefit from using…
cs.RO2024★ 1 cited
Using Fiber Optic Bundles to Miniaturize Vision-Based Tactile Sensors
Julia Di, Zdravko Dugonjic, Will Fu +11
Vision-based tactile sensors have recently become popular due to their combination of low cost, very high spatial resolution, and ease of integration using widely available miniatu…
cs.CV2024★ 8 cited
A Touch, Vision, and Language Dataset for Multimodal Alignment
Letian Fu, Gaurav Datta, Huang Huang +7
Touch is an important sensing modality for humans, but it has not yet been incorporated into a multimodal generative language model. This is partially due to the difficulty of obta…