🇮🇹 🇺🇸 🤖 𝐈𝐭 𝐢𝐬 𝐭𝐢𝐦𝐞 𝐟𝐨𝐫 𝐦𝐞 𝐭𝐨 𝐰𝐫𝐚𝐩 𝐮𝐩 𝐥𝐚𝐬𝐭 𝐰𝐞𝐞𝐤’𝐬 𝐀𝐌𝐃 𝐀𝐝𝐯𝐚𝐧𝐜𝐢𝐧𝐠 𝐀𝐈 𝟐𝟎𝟐𝟔 𝐢𝐧 𝐒𝐚𝐧 𝐅𝐫𝐚𝐧𝐜𝐢𝐬𝐜𝐨. It was an intense and inspiring experience — and an honor to present #GENE01# together with @AMD CEO Dr. @LisaSu and South Korea Deputy Prime Minister and Minister Kyunghoon Bae 🇰🇷 ⚛️ At #CES26# in January, we joined Dr. Lisa Su on the AMD keynote opening cerimony as we unveiled our vision and the #GENE01# concept design. 🖐️ Six months later, that vision became physical. At #AdvancingAI#, we presented a fully functional humanoid platform that walks, interacts, and perceives the world through its full-body multimodal skin. During the presentation, we showcased what we believe is one of the key assets for human-centric Physical AI: a sensorized skin capable of perceiving touch and proximity across the robot’s body, enabling safer and more natural interaction with people. 🤝 This moment reflects the strategic relationship between @G_Bionics Generative Bionics and AMD, supporting key computing capabilities across our Physical AI platform. 🚀 But above all, it shows what becomes possible when deep Physical AI expertise, next-generation computing, and industrial execution come together. 🙏 A special thank you to Dr. Lisa Su for giving us the honor of presenting GENE.01, and to the entire #AMD# team for welcoming Generative Bionics at Advancing AI and supporting our first live U.S. appearance. Kudos to the entire Generative Bionics team for making this happen in just six months. And a special thanks to the team in San Francisco for the extraordinary work on site. 🚀 Our Physical AI is moving from concepts, models, and simulations into the real world very quickly, stay tuned. --- To know more. 📖 Press release: - 🇮🇹 - 🏴󠁧󠁢󠁥󠁮󠁧󠁿 📹 Full video: ℹ️ GENE.01 info 🤖 GENE.01 open source URDF 🔬 To learn about the science behind our #bodyascompute# computational approach for designing GENE.01 in such a short time, look at our Nature Machine Intelligence paper on the #Generative# Physical AI conditioned by #Biomechanics#: #GenerativeBionics# #GENE01# #PhysicalAI# #HumanoidRobotics# #Robotics# #AMD# #AdvancingAI# #IndustrialAI# #HumanRobotInteraction#

Physical AI is introducing more opportunities for hybrid human-robot workplaces. As leaders expect intelligent robots to transform productivity, organizations must prepare the skills, tools, and operating processes to support new working models. Are you ready? Learn our 5 keys to robotics readiness in our new report:

Shoutout to the work already building on SONIC. @yuewang314's Humanoid Everyday and UH-1, @MacSchwager's LEGS, and the work coming out of Masayoshi Tomizuka's group, including Sparse Diffusion Policy and human-robot collaboration. More on SONIC:

Our robots integrate with @Virtuals_io to become your trading assistant. We’re showing how embodied AI means installing agents into robot brains, turning digital-only tasks into actions triggered by human-robot commands.

Open-source robot arm meets hand tracking [📍GitHub below] It is designed with an industrial mindset but built as a 3D-printed desktop system. PAROL6 paired with a LEAP Motion controller is a nice example of how accessible robot teleoperation has become. • Hand motion is streamed to the robot at 100 Hz via UDP • A pneumatic gripper is controlled by simple fist open and close gestures • The entire robot stack is open source, from mechanics to control software Combine that with low-latency hand tracking and you get a very practical platform for learning manipulation, teleoperation, and human-robot interfaces. This kind of setup is great for experimentation, teleop, data collection, and teaching robots by demonstration All without proprietary hardware or locked software. Credit to @SourceRobotics 📍Code: —— Weekly robotics and AI insights. Subscribe free:

🤖 A Week of Innovation. A New Chapter for Humanoid Robotics on the Global Stage. At IFA Berlin 2026, AGIBOT brought humanoid robotics to the global stage — showcasing our latest robots, engaging with audiences from around the world, and exploring new possibilities for human-robot interaction. From the exhibition floor to the IFA Creator Stage, every moment was an opportunity to experience how embodied AI is becoming part of the world around us. Together, we move humanoid robotics forward. 🤖 #AGIBOT# #IFA2026# #EmbodiedAI# #HumanoidRobots# #Robotics#

NEW RESEARCH: Your robot can now juggle with you! This project involves @KaiPloeger, @jan_r_peters, @AlapKshirsagar, and others. Called "Catch, Throw, Repeat: Planning for Human-Robot Partner Juggling". it is a real-time planning and control system that lets a robot arm juggle a shared three-ball cascade with a human partner, catching balls the human throws and throwing them back in sync. The hardware is a 4-DoF Barrett WAM arm (500 Hz control) with a 170 mm funnel-shaped gripper (27 degree half-angle) that catches passively, and an eight-camera OptiTrack rig at 125 Hz tracking IR-markered balls. Each ball has its own Kalman filter that switches between a carry-phase random-walk model and a flight-phase ballistic model. A gravity-informed least-squares fit predicts touchdown. A multiple-shooting trajectory optimizer replans in joint space at up to about 20 Hz while the arm is empty, and a per-ball state machine decides which incoming ball to go for. The only prior partner-juggling controller was [Kober 2012], which topped out at about four consecutive robot catches. This approach does zero prediction of the human's intent, tracking only the ball. There is no human pose or intent model anywhere in the loop: the robot picks the ball that has been in flight toward it longest and whose predicted touchdown lands in a reachable workspace. That converts a two-agent coordination problem into a single-object tracking-plus-planning. The 170 mm funnel with a 27 degree half-angle physically corrals the ball, so the optimizer only has to get the funnel to the predicted touchdown at rest (velocity and acceleration both zero), and the paper argues a rest-catch is more robust to timing error than velocity-matching. Continuous roughly 20 Hz replanning happens exclusively in the vacant phase approaching the catch. Once holding a ball the arm commits and executes the release open-loop, deliberately trading feedback for a consistent, repeatable release the human can read. All the adaptivity is spent on catching, none on throwing. Also interesting imho: degradation with ball count is physical, not perceptual, and the scaling wall is geometric. As balls increase, the throw frequency rises, and the vacant-phase slack shrinks. The dominant failure mode is inter-ball collisions, and collision probability "does not admit a closed-form solution," so principled online avoidance is hard and the airspace saturates, capping scalability at two to three balls. Four-ball patterns exist only in simulation, where success also drops sharply.

Intel $INTC A new survey of 800 executives and experts across the US, China, Germany, Japan, UK and South Korea shows 60% expect their organizations to operate robots within five years. Only 40% have a formal strategy for managing human-robot workplaces. The gap is widest in Korea. 67% of Korean respondents expect robots on site within five years and 76% believe they will be ready for collaborative environments by 2030. Yet only 27% report having a concrete strategy, the lowest among the six countries surveyed. Most respondents see robots as assistants that raise human skill levels rather than replacements. Safety, fragmented decision-making, and the shortage of people who understand both robotics and AI remain the biggest practical barriers. 77% say reliability and performance matter more than humanoid form. Edge AI is emerging as critical. More than half of respondents need decision latency under 100 milliseconds for key applications.

Sneak Peek | A First Look at Lumos at WRC 2026 What does it really mean to put intelligence to work? It’s not just about entering the real world. It’s about taking on real tasks and adapting to real environments. See Lumos’ Full-Stack Industrial Embodied AI in Action Witness Embodied AI moving into real-world jobs. 📅 Aug. 19–23, 2026 📍 Beijing Etrong International Exhibition & Convention Center Hall C | Booth C305 🔥 Four Booth Highlights 01 | Embodied AI in Action Box handling · Material transfer · Human-robot collaboration 02 | Evolving Skills Powered by Prime R0 Deformable object manipulation · Multi-step task execution 03 | The Engine Behind the Evolution Explore how NexCore turns human demonstration data into robotic skills. 04 | Smart & Agile Meet Lu Xiaoming Natural interaction · High-agility kinematics 🎁 Three Interactive Experiences 🎲 Lucky Challenge | Test Your Luck Against MOS 2 Roll the dice and win exclusive gifts. 🌹 Skill Experience | Robotic Flower Delivery Powered by Prime R0. Experience robotic skills in action. 🎁 Exclusive Swag | Take Home a Piece of WRC Follow Lumos’ official channels to claim limited-edition merchandise. See you in Beijing! 🚀

#CulturalExchange# | 🌍🤖 #CICA# Youth Explore #Guangzhou# Tech! On July 2, youth representatives from 23 CICA states toured Guangzhou's cutting-edge industrial hubs. The delegation explored green energy transitions at #China# Southern Power Grid, witnessed advanced human-robot collaboration at #XPENG’s# smart EV manufacturing base, and studied the innovative "school-within-a-factory" talent development model at the GSK Vocational Training Institute. The exchange showcased the #GBA#'s powerful fusion of smart innovation and industrial education. Click to know more: #CICA2026# #SmartManufacturing# #TechInnovation#