Robotics is something many are quiet about, and that's kinda makes me sad... This meta truly deserves attention, and its growth is unavoidable same like it was with AI, now it's robotics turn. Here's all you need to know about it and my top picks {projects} that I'm watching 🧵 ————————————————————— > Robotics isn’t a gadget story, it’s new infrastructure, capital wants in, but the real upside is still tucked inside private fabs and labs. > And it’s far bigger than humanoids: tireless arms, surgical co-bots, warehouse swarms, farm and home helpers. > Anywhere work is repeatable or razor-precise, robots compound, 24/7, software-rate scaling once the hardware is right. > The value chain: actuators, sensors, edge compute, perception, sim, service, is where the heat sits, last decade digitized attention -> this one mechanizes labor. > How early are we? We're quite early compared to AI sector, but anyways robotics is closely related to AI. ————————————————————— |-> Projects I'm focused on & watching closely <-| > α / @Peaq isn’t a robot maker, it’s the economic and identity layer that lets robots operate as on-chain businesses. > It gives machines their own IDs and wallets, so fleets can authenticate, meter work, and get paid automatically. > Projects can tokenize real robot ops {e.g farms, vehicles} to share revenues with backers and handle payouts transparently. > Well, in short: Peaq ties robotics to Web3 by handling ownership, payments, and coordination at scale. ————————————————————— > β / @openmind_agi building the “OS + network” for robots, OM1 is an open-source, hardware-agnostic runtime for embodied AI, and FABRIC is a decentralized control layer to coordinate fleets at scale. > They’re shipping code {OM1 on GitHub} and even a mobile app that crowdsources data and evaluations for real-world robots. > Net-net: think "Android + internet for robots" aimed at letting machines learn, update, and work together across brands. ————————————————————— > γ / @GEODNET is a decentralized RTK/GNSS network that gives robots centimeter-level positioning, think warehouse bots, delivery rovers, field robots, and drones, precise, low-latency location makes them safe and reliable at scale. > Operators host base stations and earn tokens, robotics fleets plug into the correction feed {via standard NTRIP/RTCM} to navigate accurately. > It’s the location utility layer robots need to graduate from demo to production. ————————————————————— > δ / @virtuals_io is extending its agent stack from screens to machines. > They’ve launched a Virtuals Robotics push: partnerships {e.g. @BitRobotNetwork} and the SeeSaw app to crowdsource real-world robot training data, plus frameworks to coordinate and pay fleets on-chain via ACP and plan actions via GAME. > Sooo... Virtuals supplies the agent brain + commerce rails, hardware teams plug in robots so tasks, data, and payouts flow autonomously. ————————————————————— Leaving TL:TR too-lazy to read version below for y'all ⬇️

> 懒得给你们读版本：

> 标记 CT 的真正 chads 只是为了检查主要阅读： > @belizardd @DeRonin_ @kem1ks @splinter0n @terra_gatsuki @0xAndrewMoh @KingWilliamDefi @thekuchh @0xDepressionn @cryppinfluence @CryptoShiro_ @the_smart_ape @AlphaFrog13 @0xTindorr @Hercules_Defi @eli5_defi