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@MrStickman
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@MrStickman

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Since 30.05.2026

NeurIPS reviews coming in soon! [D](reddit.com)
So, from what I've seen across twitter(x) and reddit, I've inferred that we'll be seeing NeurIPS reviews drop on July 22nd 5:30 pm AoE(Anywhere on earth), what's your thoughts to those who've submitted to NeurIPS 2026 ? Would love to hear your opinion by the reviewers, the people who've submitted to the workshops (who should've already gotten their decisions too by now I think) and to the main tracks and other available tracks. submitted by /u/Practical-Buddy6323 [link] [Kommentare]
Things I got wrong building an incremental indexing pipeline [P](reddit.com)
I've been working on incremental indexing pipelines lately, basically keeping a vector store in sync as the source data changes, and I keep finding the same bugs never show up until it's been running a while. Biggest one for me is deletes. I tested the "new doc comes in, gets embedded" path a hundred times and it was fine. Never really tested what happens when a doc gets deleted upstream. Turns out if you don't handle that, your index just keeps growing with stuff that shouldn't be there anymore, and you don't notice until search starts returning weird results. Partial updates got me too. I didn't want to re-embed a whole doc every time something small changed so I did partial updates instead. Cheaper, but I ended up with drift between what's in the index and what's actually true in the source, especially once chunk boundaries moved around. Didn't notice until a query happened to hit the stale part. Also learned the hard way that idempotency isn't optional. My pipeline gets retried and backfilled all the time, and if reprocessing the same input twice doesn't give the same result, I get duplicate docs every time something routine reruns. None of this feels like new information, it's just normal distributed systems stuff, but I feel like it gets way less discussion than embedding models or chunking strategies. Anyone else dealt with this or have a setup that's actually held up long term? submitted by /u/Whole-Assignment6240 [link] [Kommentare]
YEAR LATER UPDATE 4: 110 WORKING DAYS ON A COMMERCIAL GRADE HUMANOID SOLO BUILDING AT HOME. 25DOF BIPEDAL.(reddit.com)
Hello, its been a while! I want to share a bit about the journey behind my challenge of building an Open Source commercial grade humanoid robot totally alone at home. You might remember me from https://www.reddit.com/r/robotics/s/zzx9Yi4tXI. Which was my first iteration! My first iteration was honestly pretty bad. It was a beginner-level design, and many of you probably noticed it looked like something that would never actually work. Looking back, I completely agree. It lacked proper physics, kinematics, finite element analysis, and nowhere near enough structural rigidity to survive a walking gait. Everything looked fine inside a simulator, but reality was different. The robot literally broke during its very first movement. First Iteration on fusion360 looked like, yes you can make fun of it all you want but this baby tought me that you should not give up: https://preview.redd.it/7qbpdbss26dh1.png?width=972&format=png&auto=webp&s=c31061037ed50ece8dbabbd9312db2dbdee4c620 I threw it away. After that, I gave up for a few months. Life got in the way, and I stopped working on the project entirely. Eventually I came back, more motivated than ever. For months I dove deep into control theory, kinematics, mechanics, physics, electronics, energy systems, transmission systems, Actuators, FOC, Torque and robot design. That led to the second iteration of my humanoid. second iteration render on FUSION 360: https://preview.redd.it/obi18ie756dh1.jpg?width=795&format=pjpg&auto=webp&s=df46134a3e419df72d61641d5d695cc04ac9b359 ...which also failed. 😂 Why it failed? The whole design was just bad, i wasn't using the motors case for anything just covering everything up instead of using the motors to hold stuff together and better like real humanoids do. And many other things that i will make a video on. gen2 fluid teleoperation The second version was a huge improvement. Teleoperation was smooth, I had the software stack working well, and I was even able to experiment with reinforcement learning policies and software in depth. But mechanically, I knew it was still far from where it needed to be. Also Hardware. I had to add Robstride 04 and 03 to my actuators for required torque. For economic reasons i made the biggest mistake in my life that was selling the NVIDIA JETSON AGX ORIN. Anyways i got a JETSON ORIN NX 16GB as a replacement. So I scrapped that one too. (burning money yay) Now I'm building what I consider my latest iteration, and I'm continuously improving it before machining the final parts. My goal is for this robot to run, jump, and eventually do whatever I can teach it to do. I am heavily focusing on manipulation btw. This time the design process is completely different. I've incorporated finite element analysis (FEA) for every part, proper mechanical engineering principles, design for manufacturing (DFM), and many of the concepts used in modern commercial humanoid robots. Thanks ARXIV for many papers. https://preview.redd.it/34e3quus56dh1.jpg?width=851&format=pjpg&auto=webp&s=c2fc7eeae553f11ffae6176221c969f8e506de2f https://preview.redd.it/or3qjrno56dh1.jpg?width=881&format=pjpg&auto=webp&s=169be6140f54de577e7fb93c9adccef497d6e4f2 https://preview.redd.it/6ccn0qap56dh1.jpg?width=642&format=pjpg&auto=webp&s=1459308f1b2bf675cf6e4ee9df311b09175fd12f This was before i understood that a screen on a head of a robot that will be falling is not a really smart idea. Latest Iteration (WIP): https://preview.redd.it/znp4kfki56dh1.jpg?width=784&format=pjpg&auto=webp&s=ab0352498c8ef68ec840508d03b49831e0ffe669 https://preview.redd.it/lo12fc8k56dh1.jpg?width=1018&format=pjpg&auto=webp&s=90c0bc6451bdfca5c3cb8570700e03cf0bae0d0d STILL IMPROVING. and Yes this is not just a CAD Humanoid. I have burned around 20kg- 25kg of PETG,PA-CF and some aluminum parts trying to make it happen :) i will be posting new iteration teleoperation and manipulation videos soon. BTW One challenge I didn't expect was the battery. Lithium batteries are heavily restricted for import in my country Honduras, so I had to design and build my own DIY Li-ion (please do not use LIPO on humanoids that walk) battery pack from scratch. Which i have a full video on how to do it for a humanoid robot specific needs, i am sure this might help atleast someone. I've failed more times than I can count. But every failure taught me something. I'm going to keep building until this robot walks and eventually reaches the level of commercial humanoid robots. I AM HEAVILY FOCUSING ON MANIPULATION. And yes... It will be OPEN SOURCE. I'll continue posting updates here and on X, and I'm also working on a website where I'll publish in-depth tutorials explaining how humanoid robots work (FROM MY LEARNING) and how you can build one from scratch. Thanks to everyone who's been following the project. And also thanks to everyone that has made fun of me too! I have been building this totally alone. for 110 working days exactly. I have 110 days of videos of the process. With Honor, Carlos Abrahan Lopez :D https://x.com/carloslopeezr submitted by /u/Medical_Skill_1020 [link] [Kommentare]
How are people testing robotics projects without burning money?(reddit.com)
I’ve been looking at cheaper ways to test robotics projects properly before putting anything onto real hardware. The clean version in my head is something like. develop locally > run in Isaac Sim, Gazebo or MuJoCo > do the heavier training/eval somewhere with more GPU > test on the real robot But after looking through some forums, the real flow seems a lot messier, Isaac Lab install and version conflicts, Docker setups breaking, headless rendering hanging, cloud GPUs running out of memory, or the sim using the wrong GPU entirely. What does your actual setup look like, including the slightly cursed scripts, pinned environments, machine images, or other workarounds that have somehow become part of the normal process? submitted by /u/michaelmanleyhypley [link] [Kommentare]
First full-body movements of my DIY robot lamp(reddit.com)
This is the first movement test with the assembled prototype. The motion is still rough and the wiring is currently a complete mess, but all the connected joints are finally moving — so naturally, I made it dance. Next: smoother trajectories, control tuning, and proper cable management. submitted by /u/Ok_Stress3654 [link] [Kommentare]
VultronRetriever family of models released on HuggingFace![R](reddit.com)
Thrilled to announce the VultronRetriever family of models, which were announced during Raise Summit Paris and demonstrated running Q&A and embedding documents on the iPhone, fully offline! 📱 Some highlights from the VultronRetriever model family: 🥇 Each model ranks #1 in its respective class on the MTEB Leaderboard, with VultronRetrieverPrime-8B as the global #1 📦 VultronRetrieverPrime-8B has up to 16x smaller index storage footprint and 12x higher throughput versus previous 9B-class leaders 🎯 VultronRetrieverCore-4.5B ranks second only to Prime on the leaderboard, outperforming models twice its size ⚡ VultronRetrieverFlash-0.8B outperforms models up to 5x its size, runs cool on edge devices, and indexes up to 60 images per minute, fully offline! 🐍 Deploying the VultronRetriever models with the Hydra Architecture gives you late interaction retrieval at unparalleled precision, plus generation at up to half the memory of comparable models 🧪 All models were trained on datasets with 0% cross-dataset duplication and 0% eval contamination, and show no overfitting on privately run MTEB evals Grab them, break them, make them your own 🔧 🏆 Prime: https://huggingface.co/vultr/VultronRetrieverPrime-Qwen3.5-8B ⚙️ Core: https://huggingface.co/vultr/VultronRetrieverCore-Qwen3.5-4.5B ⚡ Flash: https://huggingface.co/vultr/VultronRetrieverFlash-Qwen3.5-0.8B 📊 MTEB Leaderboard: https://mteb-leaderboard.hf.space/benchmark/ViDoRe(v3)) 🐍 Hydra Architecture: https://arxiv.org/abs/2603.28554 submitted by /u/madkimchi [link] [Kommentare]
Simple 3dof stewart platform(reddit.com)
Does anybody here have the files or can create an 3d printable 3dof stewart platform powered by 3 sg90 micro servo motors and run by an arduino? While I am currently studying to be a robotics engineer, I have only completed one year and do not have the knowledge to design, built, nor program a platform. I've looked online but all of the ones I found are too complex and/or require a lot of components. I did find one however, the design had the arms and the top platform be one large print, which made it difficult to print on my 3d printer. It also had extra designs on it just for decoration, which would be a waste of filament. I just want a small simple one that the arms, top platform, and bottom platform can all be printed separately. It just needs to be big enough to fit a lego speed champions car, while also just being powered by the micro servos and run by an arduino uno. submitted by /u/Ok_Bus_3393 [link] [Kommentare]
AIP v1.1.0: a spec for verifiable, auditable, private-by-structure coordination (with a ZK principal-attestation primitive) [R](reddit.com)
Hello r/machinelearning! I've been working on a protocol for a bit now and have just released a whitepaper with the implementation on GitHub. It's a spec and reference implementation for a coordination layer where every message is signed, every state change is hash-chained into an audit log, and a privacy guarantee is enforced by routing precedence rather than by policy. There's an optional ZK principal-attestation primitive (heavy handshake vs. default Apache 2.0) in the spec. The handshake (capability intersection) is a setup step; the audit log is what the protocol actually delivers. The protocol is not agent-specific, but a motivating use case is auditing how autonomous agents operate; the audit log gives the verifier the same answer the operator gets; any cross-organizational service coordination is in scope. Five invariant(s) at the core: Every message is signed (Ed25519 over canonical JSON, RFC 8785) Every session has a capability-intersecting handshake Every state change produces a hash-chained audit entry Principal identity is attested by a use-once ZK proof, not transmitted Personal data is forced local by routing precedence (the first thing the router checks - no override) Spec (CC BY 4.0): https://github.com/githubscum/aip-protocol/blob/v1.1.0/docs/aip-v1.0-spec.md Whitepaper (CC BY 4.0): https://github.com/githubscum/aip-protocol/blob/v1.1.0/docs/AIP-whitepaper.md Reference implementation (Apache 2.0): https://github.com/githubscum/aip-protocol Cite (Zenodo DOI): https://doi.org/10.5281/zenodo.21267380 Bitcoin-anchored OTS chain: whitepaper, spec, release tarball, and v1.1.0 commit SHA-256 all attested in Bitcoin blocks 957210–957217 (mined 2026-07-08). See dev-logs/ots/ in the repo. Author (ORCID): https://orcid.org/0009-0006-2476-1615 Looking for feedback on the wire format, the audit chain, and the routing precedence rules, thanks for taking the time! submitted by /u/rredditscum [link] [Kommentare]
Question about real-world humanoid robot data collection(reddit.com)
Bit of a long shot, but is there anyone here who actually worked on data collection for humanoid robots? I have a high level understanding of the process and required data, but don’t understand the details. I’m trying to figure out the real workflow, not just what’s described in papers. Looking for someone who’s done it in practice and wouldn’t mind answering a few questions. submitted by /u/Farseer_W [link] [Kommentare]
In need of a micro-electronics/precision soldering specialist(reddit.com)
In need of a micro-electronics/precision soldering specialist We need help repairing our "Loona" companion robot, which is a vital therapy bot for my husband, a Vietnam Veteran. The Issue: After a recent manufacturer repair, she is rolling backward constantly. A wire on the circuit board likely needs to be switched/resoldered. Skill Needed: High-level skill in mini/micro-soldering and delicate electronics. Why We Are Repairing: We strictly believe in repairing our items rather than throwing them away, which is what the company wants us do. That mensd our lifetime of memories go into the trash too, Please message me if you have the tools and experience to tackle a precise electronic repair. Thank you! https://www.youtube.com/shorts/froFLicMXo4 submitted by /u/wendisigo [link] [Kommentare]