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

NVIDIA Robotics
12,410 次观看 • 3 个月前
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

NVIDIA Robotics
40,655 次观看 • 3 个月前
Physical AI is moving fast - from factory floors... to humanoid robots. 🤖 Join us at #NVIDIAGTC 2026 to see how NVIDIA’s open models, libraries, and growing ecosystem are accelerating robotics innovation. Check out our robotics sessions. ➡️show more

NVIDIA Robotics
23,624 次观看 • 6 个月前
Announcing our commercial partnership with Booster Robotics Booster builds... humanoid robot hardware, OS, and developer tools to make humanoid robots more affordable, reliable, and practical. The partnership centers on using simulation to multiply the value of real-robot data—expanding teleoperation demonstrations into scalable training data across diverse tasks and scenes. This joint effort powers sim-real co-training and foundation-model development, accelerating progress from hardware iteration to deployable robot policies. Together, we're building simulation‑powered data infrastructure for Physical AI — making scalable training data accessible to model developers and the broader robotics ecosystem.show more

Axis Robotics
64,550 次观看 • 9 天前
Get your green on 💚 The Gear Store at... #NVIDIAGTC Taipei is packed with exclusive merch you won’t find anywhere else. 🛍️ TICC | June 2–4, 9:30 a.m.-5:30 p.m. Access for GTC Taipei pass holders, and COMPUTEX pass holders that are registered for Explore to Win.show more

NVIDIA
48,296 次观看 • 2 个月前
“The hand is where the mind meets the world.”... — Carl Zimmer Humanoid hands closely replicating human degrees of freedom enable robots to seamlessly integrate into our world and learn more efficiently from human demonstrations. A look at some of the impressive hands from 2024🧵show more

The Humanoid Hub
43,139 次观看 • 1 年前
I am posting after a Long Time on Twitter,... but its to announce a big change. I have started and we are Collecting Egocentric Data at Scale from India, Covering 300 + Commercial Locations 1500 + Households This is the network and base we have built in just past 2 months, as the Robotics companies, VLMs and World Models increase their requirements on Real World Data collection, Human Loops will be keep scaling out capacity. We are on track to collect 1M Hours of Egocentric in the coming 6 months for our clients exclusively. We are maintaining 95% Quality standards across industrial data and running a End - End Operational Management complying all Indian Laws and compensating our partners/operators. (From Environment sourcing, to hardware, Legal contracts, deployment, training, collection, processing) Check our Samples: - Commercial Videos -- Household Videos --- Multimodel ---- Egocentric + Live Audio Narration Links : On the Journey to become #1 India Physical AI Data Partner. We are also building our capacity as annotation and labelling partner for data companies to become end-end partner for companies. A big change from the world of crypto and web3 but physical AI and data space is where i want to build my next venture #Egocentric #EgocentricIndia #PhysicalAI #Robotics #India #AIdata #data #Multimodeldata #worldmodels #VLMs #Humanloops #Egocentridata #Multimodeldatashow more

Shloak
27,867 次观看 • 2 个月前
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

Skild AI
255,828 次观看 • 4 个月前
Pi Ventures-Backed OpenMind Opens Waitlist For Humanoid Robot Control... Pi Network (Pi Network) Ventures backed OpenMind (OpenMind) has opened the waitlist for Instabody, a platform that lets users remotely control a real humanoid robot. The company said users can see the world through the robot's eyes and directly control its movements. It believes giving people the controls will help shape how robots evolve. OpenMind previously launched a robot app store built on its OM1 operating system, allowing developers to add new skills to humanoid and quadruped robots.show more

BSCN
55,823 次观看 • 25 天前
BOOM! Humanoid Robots Just Performed Surgery for the First... Time! REAL VIDEO! In a groundbreaking preclinical breakthrough, researchers at UC San Diego have achieved what many thought was years away: teleoperated humanoid robots successfully completing live surgeries. Published in Nature, the study marks the world’s first use of humanoid robots for in-vivo laparoscopic procedures on large animals (pigs). Two separate surgeries were completed: Key Details •. Procedure: Laparoscopic gallbladder removal (cholecystectomy) •. Team 1: Human surgeon + one humanoid robot (the robot performed core tasks while the human assisted) •. Team 2: Two humanoid robots working together with no human at the operating table •. Robots: Custom “Surgie” humanoids (~5 ft tall, ~60 lbs) using standard surgical tools •. Control: Fully teleoperated by surgeons (remote human control, not autonomous) •. Significance: First demonstration of humanoid robots handling real surgical workflows in a live setting, proving compatibility with existing OR tools and spaces This proof shows humanoid robots could one day help address surgeon shortages, enable remote procedures in rural areas, battlefields, or even space all at a fraction of the cost and space of traditional surgical robots like da Vinci. Read the full publication here: Project page with video: The future of surgery just got a whole lot more interesting. And medical cost for the first time in decades will be scheduled to go down, much further down.show more

Brian Roemmele
107,600 次观看 • 1 个月前
#DigitalTwins serve as the virtual training ground for robots... as they learn to operate in the physical world. 🦾 At #HM25, Accenture and Schaeffler Group are showcasing how the Mega #NVIDIAOmniverse Blueprint accelerates #physicalAI development by simulating Digit, a humanoid robot from Agility. Learn more ➡️show more

NVIDIA Omniverse
15,433 次观看 • 1 年前
A Letter to Our Community: The Road Ahead for... Robotics To our Community and Partners, As we step into 2026, our mission at Axis is clearer than ever: Constructing the definitive End-to-End Scaling Layer for Robotics. Our goal is to accelerate the transfer of diverse human intelligence into Robotics General Intelligence (RGI). By owning the critical path of intelligence creation, we are turning the physical limitations of robotics into a scalable, software-driven future. Here is our strategic outlook and roadmap for the year ahead. The Core Thesis: Simulation is the Only Way Out The path to RGI is currently blocked by Data Scarcity, Generalization Fragility, and Hardware Fragmentation. At Axis, we believe Simulation is the only way out. Our Simulation Data Platform and Data Augmentation Engine transform raw data into "Synthetic Gold". Backed by academic milestones like Roboverse, Skill Blending, and GraspVLA, we have proven that pure simulation can achieve the generalization required for the real world. We don’t just collect data; we architect it. The Engine: Why Crypto? We believe RGI should come from all, not a few. Crypto is not just a feature; it is the primitive that powers our entire ecosystem flywheel: - Incentive Mechanism: Democratizing contribution and rewarding the trainers and developers. - Assetization: Turning proprietary data and refined models into liquid, ownable assets. - Verifiable Workflow: We are opening the "Black Box" of AI. By bringing total transparency to the Task Generation → Data Collection → Model Training pipeline, we ensure every byte of intelligence is verifiable, traceable, and secure. 2026 Strategic Deliverables This year, we are committed to delivering three foundational pillars: - The World's Largest Training Dataset for Robots: A robot training set—diverse, high-quality interaction data at an unprecedented scale. - A Robotics Foundation Model: A universal robotic brain trained on our pure simulation and synthetic data, capable of robust cross-embodiment transfer and open-world adaptability. - Evolvable Robot Hardware: Robots deployed with Axis models that autonomously evolve through continuous interaction, turning every deployment into a self-improving node within our RGI network. The Ultimate Vision We are building more than models; we are architecting the Distributed Machine Economy. A future where every dataset, model, and robotic embodiment is a verifiable asset in a global, autonomous network. Thank you for building the future of intelligence with us✌️📷show more

Axis Robotics
27,858 次观看 • 7 个月前
Robots now take crypto payments before they move a... muscle Fabric Foundation (Fabric Foundation) has wired its RoboPay rail into physical hardware for the first time, demoing x402 payment verification on three platforms: Deep Robotics' M20 Pro quadruped, the AGIBot X2 humanoid, and a DOBOT CR5V robotic arm. A $USDC payment clears, RoboPay authorizes a bounded task, and the machine executes, from patrol runs to pick-and-place. The demo ran on Base's Sepolia testnet. With x402 already moving payments between AI agents, hardware integrations like these sketch out where the machine economy goes next: robots as paid, verifiable service providers.show more

BSCN
24,962 次观看 • 16 天前
At CES 2026, the world’s largest annual consumer electronics... show in Las Vegas, USA, Booster humanoid robots K1 from China took the stage with a lively lion dance performance, blending robotics, rhythm, and cultural flair. 🤖 A moment where technology meets tradition and steals the spotlight! Chinese firms accounted for the vast majority of the roughly 13,000 humanoid robots shipped globally in 2025, according to research firm Omdia. Zhang Heqing tphuang Li Zexin 李泽欣 Olala🇻🇳 🇨🇳 🇷🇺show more

Shenzhen Channel
14,978 次观看 • 7 个月前
Figure is aiming to develop the world’s largest and... most diverse real-world humanoid pretraining dataset. For this purpose, they’re partnering with Brookfield, a global asset manager overseeing $1 trillion in assets, including 100,000 residential units, 500M square feet of commercial office space, and 160M square feet of logistics space. The data collected from this collaboration will be used to train Figure’s Helix AI model, enabling humanoids to perform tasks autonomously in real-world environments designed for humans. In addition to data collection, the partnership will explore support for next-generation GPU data centers, real estate for robotic training environments, and commercial use cases across Brookfield’s global footprint.show more

The Humanoid Hub
88,600 次观看 • 11 个月前
Korean robotics leader ROBOTIS has unveiled the 'AI Sapiens'... humanoid, a direct challenge to Unitree’s G1 and R1 models. - 4'3" (130 cm) tall and weighing 34 kg. - Features 23 DOF, powered by the brand-new Dynamixel-Q actuators. The robot is a fully open-source hardware system designed to serve as a reliable hardware platform for advanced Physical AI research. AI Sapiens is slated for an H1 2026 launch, with a price point expected in the mid-to-low 10 million KRW range (~$7,000 – $8,700 USD).show more

The Humanoid Hub
95,766 次观看 • 3 个月前
NVIDIA DROPPED A MOTION DIFFUSION MODEL FOR HUMANOID ROBOTS... trained on 700 hours of mocap data kimodo generates high-quality 3D human and robot motions from text prompts you control it with: → full-body pose keyframes → end-effector positions/rotations → 2D paths and waypoints works on human skeletons and unitree G1 robot plug the outputs directly into mujoco or retarget to other robots using GMR has a web-based interactive demo with a timeline editor. runs locally needs ~17GB VRAM to run inference open source under apache 2.0show more

Vaishnavi
17,572 次观看 • 3 个月前
Join NVIDIA for AI in Production Day at SIGGRAPH... 2026. 🎥 On Thursday, July 23, explore how generative and agentic AI are moving into real-world creative pipelines through a full day of sessions focused on film, animation, storytelling, and production workflows. Hear from industry experts on how AI is helping teams direct generative video, support artist-centered pipelines, modernize animation and VFX workflows, and reshape the infrastructure behind production. 📍 Los Angeles | Room 502A 🗓️ Thursday, July 23 | 9 a.m.–3 p.m. PTshow more

NVIDIA
57,270 次观看 • 1 个月前
We’ve seen humanoid robots walk around for a while,... but when will they actually help with useful tasks in daily life? The challenge here is the diversity and complexity of real-world scenes. Our new work tackles this problem via 3D visuomotor policy learning. Using data from only 1 scene, our Improved 3D Diffusion Policy (iDP3) enables a full-sized humanoid robot to autonomously pick&place objects, pour water, and wipe tables, in the wild open world. (and all these skills are useful, right?) Web: Fully open-sourced code:show more

Yanjie Ze
75,312 次观看 • 1 年前
China is scaling humanoid robotics at an insane speed.... Super realistic robots from Ex-Robots are now reportedly entering mass production 🤖 - Not prototypes. - Not lab experiments. - Actual production. The biggest shift happening in robotics isn’t just intelligence anymore. It’s making robots look and behave socially acceptable around humans. And honestly… we’re reaching the point where some people may not immediately realize they’re talking to a robot. Exciting future or uncomfortable future? Media : Ex-Robots ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.show more

CTO ROBOTICS Media
13,386 次观看 • 2 个月前