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Sanctuary AI Acquires AI Assets for Touch and Grasping

These assets come from those acquired from Giant.AI and the acquisition of Tangible Research, coupled with Sanctuary AI’s independent activity, opening up the immense potential of embodied AGI

Sanctuary AI, a company on a mission to create the world’s-first human-like intelligence in general purpose robots announced that it has acquired and is accumulating key IP assets related to touch and grasping which are vital to building truly general purpose robots. The coordination between touch sensors, that provide tactile feedback, and vision systems is critical to enabling embodied AGI. Sanctuary AI holds patents on several key technologies in this space, originating from a combination of internal filings and external acquisitions.

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The field of AI is rapidly advancing and beginning to enable robots (both humanoid and non-humanoid) to become much more capable at performing tasks. The next wave of AI will be “grounding” AI in the physical world, or “real world AI” that will support the development of embodied AGI systems.

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Sanctuary AI’s growing patent portfolio already protects several key grasping technologies for both non-humanoid and humanoid robots, including: visual servoing, real-time simulation of the grasping process, and mapping between visual and haptic data. All of these are key to enabling any kind of robot that must interact with and manipulate objects in unstructured or dynamic environments.

“Replicating human-like touch is potentially more important than vision when it comes to grasping and manipulation in unstructured environments,” said Jeremy Fishel, Principal Researcher, Sanctuary AI and Founder, Tangible Research. “It has been an effort many years in the making to meet the complex blend of performance, features, and durability to achieve general purpose dexterity.”

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“In dynamic and unstructured environments, coordination between touch and vision is an absolute necessity,” said Geordie Rose, CEO and co-founder of Sanctuary AI. “We spent over a year performing industry wide analysis before acquiring Jeremy’s team. Beyond the functional sensitivity, the technology is designed to be simulatable, enabling us to fast track our AI model development.”

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