Honored to work with Intel and Lip-Bu
HARDWARE
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Intel Partnership on Terafab Fabrication Initiative Announced
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Looking forward to working with Intel on the Terafab!
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Gravity-Defying Robotic Warehouse System with Ceiling and Wall Climbing
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Gravity-Defying #Robotic #Warehouse System: Ceiling- and Wall-Climbing #Automation
— Ronald van Loon (@Ronald_vanLoon) 7 avril 2026
via @ZappyZappy7
#Robot #MachineLearning #ArtificialIntelligence #ML pic.twitter.com/ks5DdvJcWXGravity-Defying #Robotic #Warehouse System: Ceiling- and Wall-Climbing #Automation via @ZappyZappy7 #Robot #MachineLearning #ArtificialIntelligence #ML
→ View original post on X — @ronald_vanloon, 2026-04-07 16:25 UTC
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VIBO Sensor: Local Vibration Preprocessing with Modbus Protocol
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The VIBO sensor preprocesses vibration measurements locally with 20 kHz bandwidth, then transmits processed data over standard Modbus protocol.
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Android XR Gets Better With 5 New Immersive Features
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Android XR is getting even better! 🥽✨ We’re rolling out 5 new features to deepen your immersion from auto-spatialization updates to community-requested refinements. 🧵Check out the thread below for some highlights:
→ View original post on X — @scobleizer, 2026-04-07 16:15 UTC
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Wireless MEMS Vibration Sensors for Industrial Equipment Monitoring
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Wired MEMS vibration sensor sits on the hot, noisy equipment. Wireless gateway sits up to 10 meters away in a controlled zone.
— Lucian Fogoros (@fogoros) 7 avril 2026
Two-stage architecture: accuracy where it matters, cloud connectivity where it works.
Partner content with Tronics Microsystems. #tronics_ai pic.twitter.com/6MgWCnh0e1Wired MEMS vibration sensor sits on the hot, noisy equipment. Wireless gateway sits up to 10 meters away in a controlled zone. Two-stage architecture: accuracy where it matters, cloud connectivity where it works.
Partner content with Tronics Microsystems. #tronics_ai -
LeRobot Releases Robot Clothes Folding Project with Full Documentation
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Releasing the Unfolding Robotics blog!
— LeRobot (@LeRobotHF) 7 avril 2026
Time to unfold robotics: we trained a robot to fold clothes using 8 bimanual setups, 100+ hours of demonstrations, and 5k+ GPU hours.
Flashy robot demos are everywhere. But you rarely see the real story: the data, the failures, the… pic.twitter.com/02O8ndkRMdReleasing the Unfolding Robotics blog! Time to unfold robotics: we trained a robot to fold clothes using 8 bimanual setups, 100+ hours of demonstrations, and 5k+ GPU hours. Flashy robot demos are everywhere. But you rarely see the real story: the data, the failures, the engineering. We’re sharing everything: code, data, and details in the blog → huggingface.co/spaces/lerobo…
→ View original post on X — @clementdelangue, 2026-04-07 15:45 UTC
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OpenClaw AI Tool Running on Mobile Phone Stealth Mode
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I have an OpenClaw like thing running on my phone (stealth mode, coming soon).
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Top Tech Stories: Startups, Apple Foldable, Netflix Gaming App
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Top stories in tech today: – This startup plans to light up the night
– Apple’s foldable iPhone hits engineering snag – Netflix launches ad-free gaming app for kids
– The smart glasses without ‘creepy’ vibes – Quick hits on other tech news -
AGIBOT WORLD 2026: Open-Source Real-World Robotics Dataset Released
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🔥 JUST IN:
— Lukas Ziegler (@lukas_m_ziegler) 7 avril 2026
Open-source robotics dataset from 100% real-world scenarios! 🤯
Chinese robotics company @AGIBOTofficial just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions.
Built entirely from real-world… pic.twitter.com/aADoukKKiO🔥 JUST IN: Open-source robotics dataset from 100% real-world scenarios! 🤯 Chinese robotics company @AGIBOTofficial just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions. Built entirely from real-world environments: commercial spaces, and homes. Collected using AGIBOT G2 robots in free-form collection mode, providing structured, accurately annotated, high-quality data. Digital twin technology creates 1:1 scale replicas in simulation matching the real environments. Both real-world and simulation data are open-sourced. The AGIBOT G2 platform collects multiple data types simultaneously: RGB(D) cameras, tactile sensors, force sensors, LiDAR, IMU, and full-body joint states. Whole-body control coordinates arms, waist, and hands for complex tasks. First-person teleoperation lets operators control the robot from its perspective. The tasks covered are fine-grained manipulation, ultra-long-horizon tasks, spatial navigation, dual-arm coordination, and multi-agent/human-robot collaboration. The dataset includes error-recovery trajectories with annotations. Most datasets only show successful demonstrations. AGIBOT includes failures and how the robot recovers, teaching models how to handle mistakes. After collection, data is tested through policy training and real-robot deployment to ensure quality. Then processed through industrial quality control with multiple screening and cleaning rounds. Making it open-source accelerates embodied AI research by giving researchers access to high-quality real-world robot data at scale. 🇨🇳 Learn more here: agibot-world.com/ ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
→ View original post on X — @clementdelangue, 2026-04-07 13:30 UTC