robotics.
10 writings found
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FoundationWorlds: Building Better Robot Learning Testbeds
How controlled simulation environments like ToyBlocks are solving the reproducibility crisis in robotics research and enabling systematic model evaluation.
FoundationWorlds: Why Robot Learning Needs Controlled Testbeds
Introducing ToyBlocks, a simulated environment that lets researchers systematically study robot learning. Here's why this matters for AI development.
NVIDIA Cosmos 3 Open-Weights Models Transform Sim2Real Development
Four new Cosmos 3 checkpoints enable developers to generate interactive simulations for robotics and autonomous driving with open-weight models and commercial licensing.
SimReady Central: The Missing Library for Physical AI
How simulation-ready assets are becoming infrastructure for robotics and AI factory development, and why this matters for your next project.
Scaling MuJoCo to 2048 Parallel Simulations on GPU
How MJWarp bridges MuJoCo and NVIDIA Warp to parallelize robot simulations for reinforcement learning at scale, without rewriting physics code.
Gemini Robotics ER 2: The High-Level Brain Robots Actually Need
Google's new embodied reasoning model enables real-time spatial reasoning, multi-step task planning, and multi-robot collaboration. What this means for physical AI development.
Real-Time Surgical Simulation: When World Models Become Interactive
NVIDIA's Cosmos-H-Dreams distills surgical world models into real-time simulators. What this means for robotics development, synthetic data generation, and the future of Physical AI.
Grabette: Making Robot Learning Data Collection Accessible
An open-source handheld gripper system that lets anyone record manipulation demonstrations for robot training, democratizing data collection beyond expensive labs.
The Uncomfortable Truth About Training Physical AI: Free Cleaning in Exchange for Robot Training Data
Startups are paying people for home cleaning footage to train robots, creating a new data economy around domestic labor.
Sony's Ace Robot Is Beating Professional Table Tennis Players, and That's Actually Harder Than Beating Humans at Chess
Sony's AI-powered Ace robot defeats pro table tennis players using 12 cameras and 8 joints. Why physical games are harder for AI than Chess or Go.