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+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +By making the Digit 360 available to the scientific community, AI at Meta aims at the following objectives:
Proposals will be evaluated based on their scientific merit and potential impact.
It is our hope that the Digit 360 platform will focus attention on the importance of touch as a sensing modality (similarly to computer vision and speech recognition) and foster the development of new multimodal touch-based robotics systems, tools and applications in a spirit of scientific collaboration and open-source community.
To submit your application fill the form available Here.
Residents of the following countries are not eligible to participate: Cuba, Syria, Iran, Russia, Crimea (region of Ukraine), Donetsk (region of Ukraine), Luhansk (region of Ukraine), Belarus, Iraq, Sudan and North Korea. +Terms and conditions are available Here
Digit is an easy-to-use, reliable, low-cost, compact, high-resolution, tactile sensor designed for robotic in-hand manipulation. +The sensor is open-source so that everyone can build one. +More information about Digit can be found in our paper or by playing the video below.
Digit senses the geometry of the object in contact, in the form of images. From these images, it is possible to estimate normal forces and, when used in conjunction with markers, shear forces.
Digit is designed to be easy to connect and use — Digit is equipped with a standard USB-2.0 port, and its drivers/interface is available here.
We understand that for many people might be difficult and time-consuming to manifacture a sensor themself. +For this reason, we have partnered with GelSight Inc. to commercialize Digit. +Fully assembled sensors can be easily bought from their online store.
Digit is designed to be natively compatible with the Wonik’s Allegro Hand. +In addition, we provide files for 3d-printable adaptors for mounting Digit on several common robotic platforms.
Yes! An open-source simulator for Digit is available at https://github.com/facebookresearch/tacto.
Yes! Digit is natively supported by the PyTouch open-source library for touch processing.
Digit 360 is a modular platform which provides rich, multi-modal digital touch-sensing capabilities through a hemispherical compliant embodiment. Digit 360 contains high-resolution sensors (~8.3 million taxels) that respond to omnidirectional touch, capture multi- modal signals, and use on-device artificial intelligence to process the data in real time.
Digit 360 is an advanced touch digitization platform, equiped with a USB-3.1 Type-C port. To control and stream data from Digit 360 the drivers/interface are available here.
We have partnered with GelSight Inc. to commercialize Digit 360.
For early access to Digit 360, you may apply to the Call for Proposals.
We provide the base CAD files for designing your own end effector adaptor available in the GitHub repository
Digit is an easy-to-use, reliable, low-cost, compact, high-resolution, tactile sensor designed for robotic in-hand manipulation. -The sensor is open-source so that everyone can build one. -More information about Digit can be found in our paper or by playing the video below.
Digit senses the geometry of the object in contact, in the form of images. From these images, it is possible to estimate normal forces and, when used in conjunction with markers, shear forces.
Digit is designed to be easy to connect and use — Digit is equipped with a standard USB-3 port, and its drivers/interface is available here.
We understand that for many people might be difficult and time-consuming to manifacture a sensor themself. -For this reason, we have partnered with GelSight Inc. to commercialize Digit. -Fully assembled sensors can be easily bought from their online store.
Digit is designed to be natively compatible with the Wonik’s Allegro Hand. -In addition, we provide files for 3d-printable adaptors for mounting Digit on several common robotic platforms.
Yes! An open-source simulator for Digit is available at https://github.com/facebookresearch/tacto.
Yes! Digit is natively supported by the PyTouch open-source library for touch processing.