Physical AI models enable robots to autonomously perceive, interpret, reason, and interact with the real world. Accelerated computing and simulations are key to developing the next generation of robotics. Physics plays a crucial role in robotic simulation, providing the foundation for accurate virtual representations of robot behavior and interactions within realistic environments.
]]>To accelerate the development of 3D worlds and the metaverse, NVIDIA has launched numerous AI research projects to help creators across industries unlock new possibilities with generative AI. Generative AI will touch every aspect of the metaverse and it is already being leveraged for use cases like bringing AI avatars to life with Omniverse ACE. Many of these projects…
]]>The human hand is one of the most remarkable outcomes of millions of years of evolution. The ability to pick up all sorts of objects and use them as tools is a crucial differentiator enabling us to shape our world. For robots to work in the everyday human world, the ability to deftly interact with our tools and the environment around them is critical. Without that capability…
]]>Scene graphs (SGs) in both computer vision and computer graphics are an interpretable and structural representation of scenes. A scene graph summarizes entities in the scene and plausible relationships among them. SGs have applications in the fields of computer vision, robotics, autonomous vehicles, and so on. Current SG-generation techniques rely on the limited availability of expensive…
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