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Created Simulation From LLM Output Background: I studied EECS and I'm now getting into robotics, mostly working through the simulation side of things. While digging into the sim pipeline I came across this repo: https://github.com/AlexKaravaev/world-creator It's a CLI that generates Gazebo and Mujoco simulation worlds from a text prompt. You type something like "warehouse with shelves and some obstacles for navigation testing" and it picks models from the Gazebo model database and places them for you. I think it's genuinely a great idea and ahead of its time. It's from ~2023, so it predates all the recent LLM progress, and the author was upfront that the model hallucinated a lot back then. With today's models this approach could work way better. Curious about a few things: Has anyone here used this or something like it in real work? Is prompt-to-world something you'd actually want, or is scene setup not painful enough to matter? From what I've seen so far, people complain way more about getting the robot itself into sim (URDF, meshes, inertia values) than the environment around it. Is that right? If someone built an upgraded version of this, what would the use cases be for you? Randomized scenes for RL training? Test scenarios in CI? Quick demos? I'm exploring building in this space, so honest "nobody needs this" takes are just as useful as feature wishlists. submitted by /u/Few_Film8907 [link] [Kommentare]
Teaching my 13-year-old grandson programming using Arduino, Python, and AI. We are currently programming this small robotic arm. I originally built the arm for him 5 years ago for Christmas. Back then he just played with it, but now he is writing new code for it. The goal is to detect candies placed in front of it and drop them into a cup. How it works: A Raspberry Pi-based USB camera monitors the workspace. A Python script running on a PC detects the candies and sends G-code commands to control the arm. Hardware & Firmware: The robotic arm is powered by an STM32F103 microcontroller running Arduino-based firmware. submitted by /u/Available-String-891 [link] [Kommentare]
European Parliament MCP Server - Political intelligence for AI agents - Hack23/European-Parliament-MCP-Server
Thoughts about programming, mostly
Emerge's Local Performance Flamegraph allows you to visualize your mobile app's performance data with a comprehensive and insightful flamegraph using output from the popular open-source profiling tool, ETTrace.
We waited 65 years for the chrome arm. The merge happened in our messengers instead. I noticed it in my own business, by accident.
DNAccess recovers domains hijacked by web developers over payment disputes. Why holding a domain for ransom fails — and how rightful owners get it back.
An incisive and moving new critical biography of one of the nuclear age’s greatest visionaries.
One prompt, one AI model, one shot. Write a single prompt, run it once with any model, and the result is your entry. Six winners take a GTA VI copy (first place a PS5 too), one of them chosen by community vote. Winners showcased at the SIGGRAPH Hack Awards in LA.
I saw other products that can do this, so I also want to use my dtof lidar HM-LD1 to implement this. I haven't finished yet, just share a video first. I believe I am about to realize my idea. Looking forward to it, I will open source it on GitHub. submitted by /u/RiskHot1017 [link] [Kommentare]
Rewisp remembers the text of everything you see on your Mac, so you can ask about it later. Private by construction — screenshots never touch disk.
Billionaire exodus? California drew 10 times more venture capital than any other state this year