Meta is pushing the boundaries of artificial intelligence and robotics research with its new standardized platform, Meta Digit Plexus. The company is sharing the code and design to lower research barriers to pursue touch perception and dexterity studies. In collaboration with GelSight Inc and Wonik Robotics, Meta aims to advance robotics for the greater good.
GelSight Inc will manufacture and distribute Digit 360, a robot equipped with advanced tactile sensors, while Wonik Robotics is developing the Allegro Hand, a fully integrated robotic hand with tactile sensors. Youssef Benmokhtar, CEO of GelSight Inc, and Dr. Yonmook Park, Executive Director at Wonik Robotics, are key partners in this effort. Additionally, Meta is releasing PARTNR, a benchmark for human-robot collaboration designed to study interaction between humans and robots in household activities. This technology has the potential to transform industries such as medical research, supply chains, manufacturing, and energy.
The collaboration between Meta, GelSight Inc, and Wonik Robotics is a significant step forward in making advanced robotics technology accessible to the broader research community. By sharing the code and design of Meta Digit Plexus, researchers can now focus on developing new applications and use cases for tactile sensing and dexterity research.
The Allegro Hand, developed in partnership with Wonik Robotics, is an exciting example of how this technology can be integrated into a fully functional robotic hand. The availability of this hardware next year will undoubtedly accelerate progress in robotics research.
Furthermore, the introduction of PARTNR, a benchmark for human-robot collaboration, addresses a critical aspect of AI development: interaction with humans. By providing a standardized platform for evaluating the performance of large language and vision models in collaborating with humans, PARTNR has the potential to propel responsible research and innovation in this field.
The implications of these advancements are far-reaching, with potential applications in medical research, supply chains, manufacturing, energy, and more. As the open-source community continues to iterate on this technology, we can expect to see new possibilities emerge.
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