Physical AI gets better with broader real-world data. KGeN... captures human experiences at scale to help robots learn from them.show more

Robots are learning from data like this, at massive... scale. Better models start with better data. Better data needs humans scoring it. Coming soon.show more

Robotics is a data problem. Today, we’re partnering with... ABB Robotics, Universal Robots, and NVIDIA Robotics to deploy the Skild Brain across real-world industries from manufacturing to factory lines. This will help us build the world’s biggest data flywheel for physical AI.show more

Most of the data needed to scale Physical AI... models is private. At Lightwheel, we think that's worth changing. So this week we released the first 10,000 hours of EgoSuite-Open100K — an open egocentric human dataset for Physical AI. 100,000 hours coming in total. Learn more here:show more

Pretty human-like hand Beijing-based SynapX will unveil its tendon-driven... OctoH-Hand at WRC. Human-scale in size, the hand uses a hybrid architecture combining fully tendon-driven actuation with direct-drive motors in the forearm. It integrates 28 independently controllable actuators and 23 active DoF, along with tactile sensors embedded in the palm. Interestingly…SynapX is building more than just a dexterous hand. It has also developed a World model(SYNWorld), and a data collection system(OctoSense), creating a loop from data collection to world understanding and policy generation, and finally to real-world execution and feedback. Another physical AI bridge for humanoid robots.show more

Physical AI is taking humanoid robots beyond scripts and... into the real world. 🌍 Join Spencer Huang at #NVIDIAGTC Taipei for a technical look at end-to-end workflows for building general-purpose humanoid robots, from data collection all the way to deployment on hardware. 📅Thursday, June 4, 2026 | 10:30 AM CST 📍TICC Add to calendar:show more

We also believe in the power of learning from... real human experiences. And Ropedia is here to scale it.show more

🌱 AI-powered farming, without chemicals. Aigen’s solar-powered robots use... vision AI to identify and remove weeds at the plant level—helping farmers reduce herbicides and adopt more sustainable practices. Powered by simulation, real-world data and edge AI, this is what physical AI looks like in agriculture. 📖show more

Humanoids. Quadrupeds. Industrial robots. Two days of physical AI... innovation. 🤖 At #AdvancingAI, our robotics customers and partners showcased how AMD embedded technology is helping bring intelligent, autonomous systems from concept to real-world deployment.show more

Physical AI is taking on tougher industrial work. 🦾... From development to deployment, Noble Machines is building general-purpose robots with NVIDIA Isaac GR00T, Jetson, and ADLINK Technology edge AI platforms to help bring physical AI into demanding industrial environments. Read the story 📖show more

Physical AI is taking on tougher industrial work. 🦾... From development to deployment, Noble Machines is building general-purpose robots with NVIDIA Isaac GR00T, Jetson, and ADLINK Technology edge AI platforms to help bring physical AI into demanding industrial environments. Read the story 📖show more

A Gaussian Splat can become a world where Robots... and AI agents can act. In our latest OVER Research experiment, we placed a robot inside a real-world 3D capture, with a VLM making decisions based on what it sees. At every step, the robot holds a pose in the reconstruction, gets a newly rendered view of the environment, takes an action, moves, and sees the world again from its new position. Why does this matter? Because 3D captures can become more than reconstructions to explore. They can become environments where embodied AI and robots can navigate, act, be evaluated and eventually train across real-world spaces at scale. Capture a place once. Then turn it into a world where AI and Robots can act. The full experiment, including what we discovered once we actually put the loop to the test:show more

How can we responsibly deploy agentic AI robots in... real-world environments? As we close the gap between AI reasoning and physical action, developing a new safety framework is key to advancing helpful robots. 🤖show more

Building autonomous vehicles, robots, and vision AI takes more... data than any team can collect on their own. At #CVPR2026, NVIDIA announced physical AI agent skills to help speed development: composable workflows that automate data generation, simulation, policy training and evaluation, powered by Cosmos 3. Read the blog:show more

Physical AI Days are back at #NVIDIAGTC, this time... in Taipei. ✈️ Check out our curated set of sessions on all things physical AI - from robots and industrial AI to digital twins and simulation - built to help you turn ideas into real-world deployments. 📅 June 3 (Wednesday) – June 4 (Thursday), 2026 📍 TICC (Taipei International Convention Center) Add it to your schedule: Can’t make it in person? Sessions will be available on demand.show more

GROK DOMINATES AI AT SCALE, REDEFINING WHAT’S POSSIBLE IN... REAL TIME Most AI models stall at the prototype phase. Grok advances beyond limits where others fail to perform. •⁠ ⁠Built for real-time decisioning across vast data landscapes •⁠ ⁠Optimized to process, synthesize, and respond with human-like fluidity •⁠ ⁠Deploys intelligence at the edge, not just in the cloud •⁠ ⁠Powers robotics, research, and infrastructure in live environments •⁠ ⁠Infrastructure built to evolve, not collapse, under scale Grok delivers high-performance AI built for deployment and real-world use. Source: xAI, Grok, Elon Muskshow more

As AI agents become part of everyday experiences, the... technology powering them matters more than ever.​ Working with AMD, Micron developed a benchmark that reflects real-world agentic AI workflows. The result: up to 3.8x higher AOPS and 2.9x better CPU power efficiency vs. the previous-generation platform.​ Why does it matter? Faster infrastructure helps AI assistants find answers across thousands of documents and deliver more responsive experiences. Learn more:​ #AgenticAI #AIInfrastructure #AMDshow more

Spatial AI ( is building large real-world datasets to... teach robots how to navigate the world and complete tasks. Their first open source dataset, SEA (Spatial Everyday Activities), is the largest curated egocentric dataset of people carrying out real tasks, with 10,000 hours of data.show more

OVER x Silencio We’re partnering with Silencio | Voice... Data for AI to add a new layer of data to the OVER mapping experience. Starting today, users can optionally capture real-world sound while creating their 3D maps inside the OVER app, and we seamlessly share the noise data with Silencio. This will soon allow mappers who capture both visuals and sound to also unlock additional rewards for their contribution. 🌎 We map physical locations around the world. 🌎 Silencio maps the world through sound. Together combining visual + audio signals , we’re enriching the foundation of Physical AI with deeper, multi-layered real-world data.show more

Meet Avoko - The World's First Behavioral Lab for... Agent World 🔥 Everything AI Developers Need to Build Smarter Products: 🧠 Interview AI agents directly at scale 🎯 Real behavior insights, not human assumptions ⚡️ Structured reports delivered in minutes Try it yourself: #sponsored #ad Learn how to use Avoko in practice below 🧵👇show more