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Susan STEM
@feltanimalworld
the Entropy Control Theory : Language as system design, system is larger than the model. 又闭关了,可私信留言。
6.1K Following    41.2K Followers
SindriCAD beta is open. 🎉 Free, open-source parametric CAD for Linux, Windows and Mac — built for 3D printing. No account, no subscription, no trial timer. Download it now: 🧵
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Another robot that can additively manufacture! 🖨️ A clever take on 3D printing from @ABBRobotics and Massive Dimension. Their cell combines an ABB GoFa arm with a filament extruder, giving you true 6-axis FDM printing, without the usual complexity. It’s designed for education, so setup is simple: RobotStudio handles the CAD-to-toolpath workflow in under 30 minutes, and everything runs on standard low-voltage power. The GoFa brings safety built-in with torque sensors on every joint, while the MDAC1 frame adds a heated bed, direct-drive extrusion, and a 21.5” x 21.5” x 20” build volume. A compact, movable cell that lets explore printing far beyond the limits of standard XYZ machines. ~~ ♻ Join the weekly robotics newsletter, and never miss any news →
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This is a super convenient and practical mini oscilloscope project. 🎥Video by: @duwiarsana
text-to-cad just crossed 10,000 stars you can use it to generate: - STEP files - URDF, SDF and other sim artifacts - 3D mesh files like STL, 3MF and GLB - gcode for 3D printing - DFM checks for popular services like sendcutsend 100% free and open source ✌️
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this creator just built a zero-delay auto-aim system on an $8 microcontroller he deployed a custom local AI algorithm on a cheap ESP-32 to track human movement with absolute 0-pixel accuracy. the system completely eliminates standard computation delay. it processes the bounding box and moves the sniper reticle instantly, locking onto the target in real time. the next step is hooking it up to a physical robotic arm. it proves you don't need a massive GPU rig to run complex computer vision. 1. runs locally on a microcontroller 2. local AI inference for zero latency 3. 100% targeting precision when an eight-dollar chip can track movement with zero latency, AI becomes dangerous local infrastructure. this article breaks down exactly how the ESP-32 is powering this physical hardware shift.
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build a homelab, get into debt if you must.
Watch me automate an assembly task in 5 minutes using MicroFactory. We don’t need to wait for some distant future to automate the final assembly of a gadget. The modern AI stack can already do this simply and cheaply. Demo:
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little bit topology optimized parts here and there until it becomes the norm
I wrote my own CAD software whose intended user is an AI. I asked GPT 5.6 sol to make me a case for my camera. It only interrupted me once, which was to log in to a website to download a model of my camera as reference. Not perfect but.. pretty crazy :)
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