Andrew Barry from Generalist says the company is upfront with people collecting robot training data: the data is being used to train robots. Some workers are excited by that, especially when the tasks are repetitive, physically demanding, or jobs they do not want to keep doing. Full episode: https://www.youtube.com/watch?v=-TTAOxVN2eo submitted by /u/Responsible-Grass452 [link] [Kommentare]
Does anyone know when is the ICML poster deadline? It says it’s tomorrow but is it AoE? submitted by /u/misplacedlion [link] [Kommentare]
Curious if this neck mechanism is realistic using what appears to be Nema 17 stepper motors. From an animated series online (Elberr). https://preview.redd.it/n67mm00oz87h1.png?width=1640&format=png&auto=webp&s=2ab62ce3046d173cb88432848e2150767405d6ce https://preview.redd.it/z39nq50oz87h1.png?width=1640&format=png&auto=webp&s=ea70615ede462bab141915d7f93e7d14e90cfd79 submitted by /u/Positive_Valuable980 [link] [Kommentare]
I'm making a custom bldc motor to use as the main propulsion for an automated rigg to map the bottom of the sea! For now i'm testing it in my paddle surf, outside the water it seems to be way to powerful! The motor itself is all 3d printed, I'll soon make a post about it! submitted by /u/ArnauAguilar [link] [Kommentare]
What if Playmobil figures were scaled up and equipped with AI, turning them into physical AI companions? It could be fun if their hands kept the classic C shape design but were upgraded with 3or 4 degrees of articulation, allowing them to perform simple tasks. (such as fetching a pen, making tea or coffee, and other basic household activities) The face could be a display screen. When powered off, it would show the classic Playmobil eyes and smile. Once activated, it would come to life with expressive eyes and facial animations similar to the characters in , allowing it to move and interact more naturally. What do you think? submitted by /u/Difficult-Limit-7551 [link] [Kommentare]
Hey everyone, I just completed my first year in Electronics and Computer Engineering and I’m currently working on a robotic arm project. I already have the STEP files, datasheets, and most of the components finalized. The issue I’m facing is with the actual mechanical CAD/design part in Fusion 360 — mainly assembling the arm properly, joint design, motor mounting, bearing placement, alignment, etc. I’ve tried using AI tools like ChatGPT and Claude for guidance, but for complex robotics CAD they often give incorrect Fusion 360 steps or impractical mechanical solutions. I’m looking for someone who has experience with: - robotic arm design - mechanical CAD - Fusion 360 - robotics assemblies Even some guidance, feedback, or help with a few parts of the design would really help me move forward. I can share a ZIP file containing all the STEP files and datasheets if anyone is interested. Unfortunately I can’t pay right now since I’m still a student, but I’m genuinely trying to learn and build this project seriously. You can DM me or contact me at: deepkukreja31@gmail.com submitted by /u/Life_Transition3270 [link] [Kommentare]
Hello Reddit I've been working on QSPR (Quantitative Structure-Property Relationship) analysis for chemical compounds mentioned in the Jean-Claude Bradley Open Melting Point Dataset. Basically the idea is to see how accurate a model can predict melting points of compounds using only topological indices. After some work on the topological indices (feature engineering), each compound was represented by 26 features. I trained a random forest model on the data and got a test r2 score of 0.66 (which is pretty respectable, given the constraints). However, the file size of the model was around 1.23GB. I didn't like it being that big, so I opened up PyTorch to build a custom deep learning architecture that could make predictions as accurately as the random forest but with much smaller file size. After around 2 weeks of research, I build a 270,000 learnable parameter model (1.3-1.4MB according to torchinfo) that got an r2 score 0f 0.6399. Given all this context, I wanted to ask the following question: Should I commit and work on publishing the results, or should I keep working on improving the model? Note: I'm obligated by my university to not give out intricate details of my research before publication, so please forgive me if such details are required for a high quality answer. However, I can give out the metrics achieved by my little deep learning model. Here it is: === Evaluation Metrics (Expected Value) === R² Score : 0.639910 MAE : 41.246754 MSE : 2989.062744 RMSE : 54.672322 NRMSE : 0.083469 MAPE : 11.69% The unit for MAE, MSE, RMSE and NRMSE is Kelvin (K). submitted by /u/AgiGamesYT [link] [Kommentare]
I have been planning this for a while now. It's basically a youtube live stream where we learn robotics concepts together, ask each other doubts, discuss, make weird robots, some shinaneigens and most importantly just have fun. You can choose to not show your face, or vtube like me. Right now I have started learning the physics behind robotics using a book called Modern robotics by Kevin lynch and Frank Park. You can either learn it with me(I have only seen a couple of pages, I can teach you in like 20 min to get you to where I am) or if you want you can choose to just do your own thing simultaneously as well. Any suggestions or feedback to get as many people as we can is appreciated 👍 I really want to make the robotics community to become friendly and fun . Just dm me . we'll plan exactly how to undertake this (let's say a discord call in the stream or chat based etc.) submitted by /u/SundeepKuPanigrahi [link] [Kommentare]
Hi everyone, I work for a major berry company, and a large part of my role involves forecasting total industry crop volumes (weekly harvest/production forecasts) as well as future pricing. I'm relatively new to ML-based forecasting. This is only my second professional role, and I have a bachelor's degree in Information Systems with a few machine learning courses under my belt, but I'm definitely not a forecasting expert. For crop forecasting, I've been working with USDA and other industry datasets. I started with SARIMA models and have recently been experimenting with XGBoost and Holt-Winters methods to compare performance. I'm looking for recommendations on: Libraries/frameworks that are commonly used for production-grade time series forecasting Models that work well for agricultural production forecasting Approaches for forecasting commodity/produce pricing Feature engineering ideas (weather, seasonality, acreage, imports, etc.) Any papers, blogs, or resources that would be useful Most of the data is weekly and highly seasonal, with weather and supply conditions playing a major role. Any suggestions, lessons learned, or pointers from people working in forecasting would be greatly appreciated. submitted by /u/foreigneverythingg [link] [Kommentare]
I made a playable Excel workbook that models a 2D and 3D robot arm using only ordinary spreadsheet formulas, charts, sliders, and Excel Solver. The idea is to make kinematics easier to understand. GitHub: https://github.com/CarlKCarlK/excel-3d-robot-arm The 3D arm is inspired by the old Radio Shack / TOMY Armatron toy robot arm. The workbook lets you move the arm manually, set a target point, and then use Excel's Solver to find the control settings that move the hand to the target (inverse kinematics!). I made this mostly as a learning project. Excel makes the math visible: the rotation matrices, position updates, target error, and Solver setup are all inspectable cell by cell. Nothing is hidden in a robotics library or graphics engine. The model itself is just a series of rows, each controlling one segment. The rows process 3 ways to turn (yaw, pitch, roll) or a move, turtle graphics-style. submitted by /u/carlk22 [link] [Kommentare]