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AI-Powered weed control! 🌱 The LaserWeeder machine from Carbon Robotics has captured the imagination of American farmers. This technology uses AI system to identify weeds in crops and zap them with precision thermal bursts from lasers. Bit of facts about the cool robot: → The machine can remove weeds...

54,776 Aufrufe • vor 9 Monaten •via X (Twitter)

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Unique footage has emerged showing remote control of interceptor drones. The 190th Training Center of the SBS reportedly used a drone-interceptor to shoot down a Shahed UAV remotely, with the pilot located at a significant distance from the launch site. The system used was LITAVR, developed by FDrones. According to the company, an operator can control the interceptor from hundreds of kilometers away from the launch point. The F7 LITAVR is already a well-known and highly effective system. As a reminder, here are the technical details (this is all open-source information): Development of the system began in autumn 2024. It was successfully tested and officially adopted in summer 2025. Serial production and deliveries to the military started in autumn 2025. Maximum speed: 350 km/h Flight time: up to 15 minutes Equipped with two cameras: daytime and thermal imaging The officially stated tactical range is 36 km, though in practice it can reach up to 60 km and operate at altitudes of up to 9.5 km. The warhead (separately codified) weighs 500 g. Detonation can occur via kinetic impact, self-destruction upon contact with the target, or manual activation by the operator. The system uses inertial guidance without GPS and features automatic terminal guidance (“last mile” / target lock system). At present, it reportedly destroys hundreds of targets per week, including Shaheds, Gerberas, Molniyas, Orlans, Lancets, and others. What is fundamentally new? Until now, mobile air defense fire groups and frontline crews using interceptor drones required a qualified pilot on-site. It has now been successfully demonstrated that a different tactic is possible: pilots can operate from protected, remote locations. The only requirement is internet access at both the control center and the launch site. Ukraine’s defense sector continues to develop innovative solutions. 📹 Oleksii Kopytko/Facebook

Anton Gerashchenko

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It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?

Robert Scoble

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JUST IN: Reimagine Robotics has just emerged from stealth! 🥷🏻 Its approach to robot training is one of the most human-centric I've seen. The founder is Jonathan Scholz, the person who built and led Google DeepMind's Applied Robotics team in London for seven years. This is not a first-time founder taking a swing at robotics. He has spent a decade at the frontier of the field. The philosophy is powerful. He calls it "monkey-see, monkey-do." 🐒 A worker shows the robot what to do. Watches it attempt the task. Corrects it on the spot. The robot learns. No specialist programmers. No months of integration. And it's already working in the real world: → A made-to-order plastics business trained robots to tend 3D printers overnight, removing print beds, operating latches, pressing controls → A hard drive disassembly facility built a three-robot cell combining robots and people to recover critical materials → Time to prototype and test a new robot behaviour reduced from one day to 10 MINUTES That last number is the one that changes everything. When testing a new behaviour takes 10 minutes instead of a day, the entire pace of deployment transforms. Scholz's framing of the human-robot relationship is worth reading carefully: "A robot that learns on the job depends on people. The worker identifies the bottleneck, shows the robot how to help, and corrects it until it is useful." It's August, and we keep getting robotics bangers week in week. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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