WALTHAM, Mass.–(BUSINESS WIRE)–GelSight, a pioneer in tactile intelligence technology, and Meta AI today announced Digit 360, an artificial fingertip-shaped tactile sensor that delivers rich and detailed tactile data by digitizing touch with human-level precision. Digit 360 will expand the field of tactile sensing research and signifies the next stage of the partnership between GelSight and Meta AI, established with the launch of the Digit tactile sensor in 2021.

“Digit 360 will advance the digitization of touch and unlock new applications in robotics with its ability to capture omnidirectional deformations on the fingertip surface.”

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Digit 360 is a fingertip-shaped tactile sensor equipped with over 18 sensing features, which will enable advancements in touch perception research and allow researchers to either combine its various sensing technologies or isolate individual signals for in-depth analysis of each modality. This new tactile specific optical lens can see the imprints all around the artificial fingertip, capturing more sensitive details about the surface touching the object. Over time, researchers can use Digit 360 to develop AI that can better understand and model the real world, including the physicality of objects, human-object interaction, and contact physics. Digit 360 significantly surpasses previous sensors, detecting miniature changes in spatial details, and captures forces as small as 1 millinewton.

Digit 360 leverages GelSight’s digital tactile sensing technology, which offers superhuman sensitivity and micron-level resolution. GelSight’s unique elastomeric and imaging-based tactile sensing solution digitizes the sense of touch, enabling robotic engineers to develop solutions for analysis of any surface regardless of material type or reflectivity, complex object manipulation, and many other dexterous tasks.

“GelSight and Meta AI share the same vision to make tactile sensing more ubiquitous and accessible,” said Youssef Benmokhtar, CEO of GelSight. “Digit 360 will advance the digitization of touch and unlock new applications in robotics with its ability to capture omnidirectional deformations on the fingertip surface.”