

Pico | (✱,✱)
3.4K posts

@_Picokel
Beta Testeur | Based Contributor | Defi Explorer. 🎒 Contributing in little ways I can. 🧡 Tried proving my love to @SuccinctLabs and @themaitrixai.



Had a call with @zjbrenner and got early access to the @opensea app He walked me through the whole experience and honestly… I was impressed. The app is super easy to use, very clean visually and extremely fast. Everything feels smooth. What I like the most is that it’s not just about NFTs You can trade tokens across multiple chains, bridge assets, track everything in one place and explore pretty much the whole Web3 ecosystem from the app. Tested it today and it will definitely make things much easier for me when browsing and buying NFTs. Much respect to Zack for the work he’s putting into this








Today's robots can be programmed to perform specific tasks, but they fundamentally lack the autonomy to make decisions in dynamic physical environments. Axis Robotics is changing that. We are building the intelligence foundation for robots by bridging the physical AI data gap. Through a browser-based simulation platform, Axis Robotics lets anyone train robots virtually through intuitive interactions. Every contribution of data is transparently tracked, verified, and rewarded on blockchain—creating a scalable, distributed data engine for the future of Physical AI.



Using regional language (Pidgin English) Wetin Axis Robotics deh Build? Wetin @axisrobotics deh build na simulated environment for teleoperation where anybody go fit get beta high-quality data for robotics training / improvement. ⚙️ By simulated environment, I mean something wey be like game environment, e deh "virtual". 🖥️ You don play mini militia na? You go gree say things deh happen, like characters deh move around and bullets deh fly around with real physics(motion, gravity, etc), but no be real, na virtual thing. 🖥️⚛️ Na the same thing for this simulated environment, but na robotics deh move here with real physics based on how you take control am. Axis robotics don build, and still deh refine their simulated environment with real physics mirroring real life scenarios for teleoperation. (Physical gravity & motion laws still deh respected; so Objects no go hang for air. 😅) For this simulated environment, you go fit teleoperate (guide & control) robotics to complete tasks like "Arrange objects on table", etc. From controlling this robotic in simulated environment, them go record as the robotic take move (en manipulation trajectories) to complete tasks, refine the manipulation trajectory data so e go deh scalable and usable for different real-life scenarios, then save am. 👨🏽🔬 From this data now, If any robotics company want source data to train their robotic models, Axis robotics go fit provide this very high-quality data to them at a cost, and revenue go go back to people weh contribute the data. 🔁