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Really glad I finally got to visit @XSquareRobot. We got an early look at XRZero-G0, their open-source full-body data collection and training system that works without requiring a physical robot body. At the time it hadn’t been officially released yet, so we couldn’t share anything haha. Now they’ve officially launched the QUANXTA Zero series — a robot-free embodied data production platform. This is not just a hardware setup. It’s a full-stack system that connects data collection, high-fidelity synchronization, automatic cleaning, intelligent annotation, embodied model training, robot inference, and evaluation loops — all in one pipeline. The goal is very clear: close the “last mile” gap between data and models, and build scalable infrastructure for embodied AI. QUANXTA Zero comes in three setups for different capture scenarios: → G1 (UMI-VIO): dual grippers with a head-mounted rig, balancing quality, usability, and endurance → G0 (UMI-VR): full-body mobile data capture → E0 (Ego): lightweight head-mounted setup for first-person data collection In short, it’s building the data foundation for embodied intelligence. Data is what drives intelligence emergence in large models — both scale and quality matter. If the data flywheel is already spinning, real home robots might be closer than we think. @TheHumanoidHub @dolylupec
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Embodied AI Enters Deployment Year One, and @AGIBOT_US put A3, X2, and G2 in front of the North American automation crowd 🤖 A3 and X2 showed the service side: performance, reception, guided tours, and real work already moving into restaurants and exhibition halls. G2 showed the industrial side: teleoperated wire-harness routing, connector mating, precise grasping, visual perception, dual-arm coordination, and Jenga stacking. That was more than a booth interaction. Teleoperation is one of the ways robots learn. The factory follow-up was the stronger signal: G2 completed a 6-day tablet-inspection livestream on LONGCHEER’s real production line. 99.99% task success rate. 2 mm precision fluctuation. 17,625 units produced. 64,828 robot operations completed. Cycle time stayed at 22 seconds per operation. The livestream ran for 64 hours from June 23 to June 28, 2026. By the end of it, the robots had already been running on that line for 105 days, from March 16 to June 28. This is the shift we actually want to see: humanoid robots moving from demos into real factory work. #AGIBOT# #Automate2026# #EmbodiedAI#
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One job first: laundry, dishes, or kid/pet chaos cleanup? 🤖 Weave Robotics just opened pre-orders for Isaac 1, a San Francisco-built wheeled home robot that extends Isaac 0’s folding work into room-resetting mobility. The useful stuff: picking up dirty clothes, folding and putting them away, making beds, and returning toys, shoes, pillows, and blankets. It still uses teleoperation when autonomy gets stuck, so this is not fully hands-off yet. Price: $7,999 upfront or $449/month. California deliveries are planned for fall 2026. Which chore would actually make you invite a robot into your house? 👇
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The ideal robot is upgradeable, modifiable, continually learns and has all its intelligence local and never in the cloud.
Back in Shenzhen again. We visited a lot of great robotics companies, and I still haven’t had time to share everything. This one is @OneRoboticsTech. They’re building a whole lineup of robots for home scenarios — from finger robots to the Onero H1 home humanoid, KATA the companion robot, and Acemate, a robot that can play tennis with you. H1 demoed autonomous laundry on site, placing clothes into the washing machine by itself. KATA didn’t feel like moving today — apparently it has moods like a person, and its mood changes all the time haha The most fun part was trying Acemate. Honestly, it’s a pretty good training partner. From the home to the tennis court, OneRobotics is turning its “one brain, many forms” strategy into real products. Big thanks to Nick for the invite, and to the OneRobotics team for the warm welcome. @TheHumanoidHub @dolylupec
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F.03 has arrived at BMW, and this is a real milestone for Figure 🤖 Figure 02 already put in serious factory hours at BMW Plant Spartanburg: 1,250+ hours, 90,000+ parts moved, and 30,000+ X3 builds supported. Now F.03 is stepping into logistics sequencing: picking unsorted parts, placing them into sequencing trolleys, and feeding BMW’s real assembly flow.
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When someone says they're against open source they're really saying they're against not having the ability to do surveillance on you, change the rules of the game on you at their whim, and revoke your access whenever they feel like.
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