A research group on Thursday released Genesis, an artificial intelligence simulation engine designed to ease robot development. The group included more than 50 researchers from about a dozen ...
Researchers at MIT created an AI-powered simulator capable of generating limitless, realistic training data for robots. The system, named LucidSim, uses AI-generated images to train a robot dog in ...
There’s a long list of reasons why you don’t see a lot of non-vacuum robots in the home. At the top of the list is the problem of unstructured and semi-structured environments. No two homes are the ...
This paper is about how robots (in particular, household robots like mobile manipulators) can autonomously acquire skills via ...
The open-source Newton Physics Engine — codeveloped with Google DeepMind and Disney Research, and now available in NVIDIA Isaac Lab — helps researchers and developers create more capable and adaptable ...
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Haply Robotics raises $16M to power physical AI haptics
Haptics—technology that recreates the sense of touch—has long been a missing piece in digital interaction. Screens can show ...
The Genesis Project represents a significant leap forward in the convergence of generative AI and physics simulation, reshaping the way robots are trained and developed. By integrating innovative ...
Understanding the LeRobot Simulation Ecosystem So, you’re curious about what makes LeRobot tick, right? It’s not just ...
Neura Robotics, which focuses on cognitive robotics development, has joined the Nvidia Humanoid Robot Developer Program and is using the Nvidia Isaac robot development platform with its Neuraverse ...
As Nvidia Corp. announced new robotics innovations at last week’s Conference on Robot Learning in South Korea, the company continues to extend its product line with new capabilities and enhancements. ...
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Robotics will break AI infrastructure: Here's what comes next
Robotics is forcing a fundamental rethink of AI compute, data, and systems design Partner Content Physical AI and robotics are moving from the lab to the real world— and the cost of getting it wrong ...
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