Embodied agents that sense, decide, and act Robots, drones, autonomous vehicles, and spatially aware wearables interacting with the physical world in real time.
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Dexterity has unveiled Mech, a groundbreaking industrial robot engineered to handle physically demanding, repetitive tasks in warehouses and logistics centers. Built with two powerful arms and mounted on a mobile rover, Mech combines human dexterity with superhuman strength, lifting up to 130 lbs and placing loads up to 8 feet
News
At the recent Japan Mobility Show, Kawasaki introduced CORLEO, a futuristic personal mobility concept designed to enhance the human experience of movement. The unveiling was accompanied by a video showcasing CORLEO's sleek design and innovative features. CORLEO represents Kawasaki's exploration into next-generation mobility solutions, emphasizing the
NVIDIA
At GTC 2025, NVIDIA introduced Isaac GR00T N1, the first open, customizable foundation model built to enable general-purpose humanoid robots. GR00T N1 combines a dual-system architecture — inspired by human cognition — with massive real and synthetic datasets to accelerate robot reasoning and skill execution. Developers can fine-tune GR00T N1 for specific
Perception Systems
NVIDIA has expanded its Omniverse platform — a physical AI operating system — by partnering with major industrial players including Accenture, Siemens, SAP, Omron, and Schneider Electric. These integrations aim to unify physical-world data and simulation tools to accelerate AI development across manufacturing, robotics, and logistics. The update includes four new Omniverse
Amazon
Amazon has revealed its latest robotics lineup powering a new generation of fulfillment centers, starting with a state-of-the-art facility in Shreveport, Louisiana. The site features a suite of eight integrated robotic systems designed to enhance employee safety and efficiency while driving a projected 25% productivity boost. Each robot plays a
News
Google DeepMind has launched the Gemini family of robotics models, engineered to help robots better understand and interact with the physical world. Built on the same foundation as Gemini 1.5, the models leverage a combination of language and vision to enable more intelligent and context-aware robot behavior. The system
Editorial
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Figure AI has unveiled an end-to-end neural network trained using reinforcement learning (RL) to enable its humanoid robot, Figure 02, to walk with human-like gait patterns. By simulating years of data within hours in a high-fidelity physics simulator, the robot learned to perform heel-strikes, toe-offs, and synchronized arm swings, closely
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1X Technologies and NVIDIA have partnered to advance AI capabilities in humanoid robotics, focusing on training the NEO Gamma robot to perform household tasks autonomously. The collaboration utilized NVIDIA's GR00T N1 model, an open, customizable foundation model designed