Explore RobotsBeat's latest reporting, research, and expert analysis tagged with "nvidia", collected in one continuously updated archive.
Nvidia and Doosan Robotics have announced plans to connect Doosan's agentic robot operating system with Nvidia's simulation and training infrastructure, targeting an intelligent robot solution launch in 2027 and an…
LG Electronics has confirmed it is in discussions with Nvidia on potential cooperation spanning robotics, AI data center infrastructure, and mobility technologies, as both companies deepen their positions in physical…
NVIDIA and more than a dozen industrial partners used Hannover Messe 2026 to demonstrate AI-driven manufacturing systems already operating in live production environments, from humanoid robots in electronics factories to…
More than 3,000 exhibitors at Hannover Messe 2026 showcased physical, generative, and agentic AI systems moving from demonstration into production, with Siemens, Schneider Electric, NVIDIA, and Microsoft presenting deployments already…
Accenture Ventures has invested in General Robotics, whose GRID platform connects robots from multiple manufacturers under a single AI intelligence layer, targeting scaled automation in factories and warehouses.
Siemens, NVIDIA and Humanoid have tested a humanoid robot in a live factory environment, signaling progress toward industrial-scale physical AI deployment.
NVIDIA is expanding its Isaac robotics platform with new AI models, simulation tools, and data pipelines designed to help developers build general-purpose robots and deploy them at scale.
Boston Dynamics is deepening its collaboration with NVIDIA to accelerate AI development for its Atlas humanoid robot. The partnership integrates NVIDIA’s Jetson Thor computing platform and Isaac robotics frameworks into…
NVIDIA is expanding its robotics platform with new world models, simulation frameworks, and partnerships with leading robot manufacturers. The move aims to accelerate the deployment of AI-powered robots across manufacturing,…
Texas Instruments and NVIDIA are expanding their collaboration to accelerate robots and other physical AI systems by combining advanced sensing, power electronics, and AI computing platforms.
Nvidia’s record revenue and growing physical AI segment highlight the expanding computing demand behind autonomous vehicles and humanoid robots such as Tesla’s Optimus.
Ottonomy has introduced Ottumn.AI, a cloud-based orchestration platform designed to coordinate robots, drones, and smart infrastructure across logistics, healthcare, and industrial environments.
NVIDIA has unveiled Cosmos Policy, a unified AI model for robot control and planning built on its world foundation models, improving manipulation performance and real-world task execution.
NVIDIA AI Factory focuses on scalable AI infrastructure that supports training, deployment, and operation of advanced AI systems.
Skild AI raised nearly $1.4 billion in a funding round led by SoftBank, valuing the robotics AI company at more than $14 billion as it scales a unified foundation model…
