10 articles · Last covered
The interactive world model takes task instructions from Argon as it generates a simulated Apollo scene, offering an early glimpse of reasoning-guided robotics environments.
Google demonstrates Argon using video, simulation and physical feedback to develop robot skills, alongside an 87% embodied-reasoning benchmark score.
DeepMind’s latest robotics framework debuts three new models, expanding vision-language-action capabilities from isolated tabletop manipulation to full-body humanoid control, high-DoF tactile dexterity, and multi-agent coordination.
DeepMind launches its most advanced embodied reasoning model to date, featuring a specialized "agentic vision" system for industrial inspections and enhanced multi-view success detection.
Munich-based Agile Robots and Google DeepMind have announced a strategic research partnership to integrate Gemini Robotics foundation models with industrial hardware, aiming to solve the "data bottleneck" through a scalable AI flywheel.
Following the closure of his startup, the former Disney Imagineer and Boston Dynamics veteran joins forces with Aaron Saunders to advance Physical AI.
Waymo has unveiled its new World Model, powered by Google DeepMind’s Genie 3, to simulate rare "long-tail" driving scenarios and edge cases, signaling a major shift toward generative world models in the race for physical AI.
In a new interview, Google DeepMind's Carolina Parada discusses the 'agentic' two-part brain of Gemini Robotics 1.5, its 'surprising' ability to transfer skills between different robots, and why she believes the home will be 'one of the last frontiers' for the technology.
Google DeepMind has unveiled Gemini Robotics 1.5, a new AI framework designed to move robots beyond simple command-following to become 'physical agents' that can reason, plan, and learn skills across different hardware, like Apptronik's Apollo humanoid.
Google DeepMind has launched Gemini Robotics On-Device, an efficient vision-language-action model designed to run locally on robotic hardware. This development aims to reduce latency, improve robustness in varied environments, and enable advanced dexterous manipulation for a new generation of autonomous robots capable of fast task adaptation.
