by Key takeaways
- As part of the goal of advanced machine intelligence (AMI), Meta’s FAIR team is developing sophisticated technologies to enable robots to feel touch.
- The robot devices can recognize what they are touching and the necessary pressure thanks to the AI technology.
- To provide the tools for the FAIR team, Meta is working with outside businesses, including Wonik Robotics of South Korea and GelSight Inc.
By using a variety of methods, Meta’s Fundamental AI Research (FAIR) team is working to give robots the sensation of touch, enabling them to recognize, comprehend, and make sense of the objects they come into contact with.
Facebook and Instagram’s parent business supports the objective of giving robotic AI helpers the ability to sense and engage with their surroundings, including safe human coexistence.
According to Meta, which recently introduced NotebookLlama, this is a critical phase in the development of advanced machine intelligence (AMI).
FAIR has announced new technology as part of its work, such as Sparsh, a general-purpose encoder that functions across sensors and touch points from a vision standpoint. Meta Digit 360, a tactile fingertip gadget with sophisticated sensory capabilities, is another utility. The embedded AI technology is intelligent enough to recognize what pressure to apply, lift, or spin an object in addition to understanding what it is touching.
Transferring “Touch Information” From the Palms to the Fingertips
In collaboration with Wonik Robotics, the Meta Digit Plexus standard hardware-software platform idea replicates touch sensors in many configurations on a single robot hand.
Meta described what is needed to give the robot hand the “feel” in a thorough blog post showcasing the new research tools. It explained how a human hand can effectively communicate “touch information” from fingers to palm to the brain, such as when a cup of coffee is too hot or when to swipe on a smartphone.
Meta is committed to pursuing the advancements it believes can be made in industries like manufacturing and healthcare by enabling robots to carry out challenging, dexterous jobs. This will enable humans to respond more quickly, provide better results, and work more efficiently.
