🤖Why is robot manipulation still an open challenge? This... video shows a kitting task -- packing multiple items into a single product. No robot today can do this autonomously. Big challenges = big opportunities for research and industry. #robotics #manipulation #automationshow more

Train a TensorFlow object detection model – then deploy... it on a robot 🤖 Iulia Feroli (Iulia Feroli) shows how to turn a notebook into a real-time object detection app. This tutorial works for any project – though we demonstrate the deployment on (and assisted by!) the #ReachyMini, an open-source robot from Pollen Robotics. Built with PyCharm + Claude Code. 👉 Watch it in action:show more

Check out this robot hexapod with a 25Kg payload... that can run for an hour on a single power tool battery. It is fully open source and runs #ROS Jazzy.show more

High school students built an autonomous ball-collecting robot! 🎾... A group of high school students built a robot that picks up balls and shoots them into a bin while moving without stopping, with impressive speed and accuracy. It combines mechanical design, sensors, and software making constant adjustments in real time while the robot is driving. When teenagers can build systems this sophisticated, the talent pipeline for the robotics industry is accelerating! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →show more

Mondo is the most adorable companion robot. It’s safe... around kids, can track and follow a person, and capture high-resolution action videos. Mondo is also doing frontier research in humanoid Video-Action models built on a world model backbone: I have no doubt we’ll be hearing this name a lot in consumer robotics. Thanks Mondo Robotics Shuo Yang for the tour.show more

The next manipulation tool may not live on your... screen. It may stand in front of you look into your eyes and convince you that it understands. Would you rather face a humanoid robot strong enough to hurt you or one designed well enough to make you trust it? This robot copies blinking, eye contact, head movement and facial expressions to create the illusion of human presence. That may look impressive but it also opens a darker question. When a machine can look concerned appear friendly and imitate emotion people may start trusting signals that contain no real feeling no empathy and no moral responsibility. So which is more dangerous a robot with physical power or a robot that can manufacture trust? #HumanoidRobot #Robotics #AIshow more

Had an amazing time at the Stanford Robotics Center... Launch event this Saturday! The Packard building’s underground floor has been transformed into a bright new robotics lab, complete with a mocap room, specialized spaces for domestic, field, and surgical robots, and even an aquarium in progress for the Ocean One bot! Check out the videos below—there’s one of me operating a Da Vinci surgical robot 🤖 Robotics truly embodies interdisciplinary collaboration, pulling together expertise from electrical engineering, mechanical engineering, computer science, materials science, HCI, and design. It’s the kind of field where no single department could drive research forward alone. This new center is an incredible resource to unite researchers, and I have to admit, I’m a bit envious of the PhD students who get to work in such an inspiring environment! Look forward to more great research work from Stanford!show more

MAKING AXIS TASKS FEEL EASY 👀🤖 I made a... quick video showing how to complete an Axis Robotics task step by step. The task gives you a clear goal, steps, controls and camera views to guide you. In this one, the goal is simple, Open the trash bin, pick up the onion, and place it inside. 🧅 Just follow the instructions, control the robot arm and complete the task. What I like is that even beginners can understand what they need to do. But the interesting part is what happens with these interactions after we complete them. Each completed task can contribute valuable robot training data, helping Physical Ai systems learn how to handle different objects and environments. Small tasks from the community can become useful data for teaching robots how to interact with the real world. That’s what makes Axis interesting to me.show more

This is how Strike Robot turns Simulation into Reality!... One of the biggest challenges in robotics is ensuring that behaviors validated in simulation work reliably in the real world. For this experiment, we reconstructed part of a real laboratory at Eastworlds inside SR Platform. The generated layout was then deployed into MuJoCo. Using SR Agentic, the robot was tasked with finding abnormal objects in a cluttered environment and sending a Telegram notification when detected. Before deployment, everything is validated in simulation.show more

1/ NVIDIA just open-sourced Cosmos 3 at GTC Taipei!... It's the first fully open "omnimodel" for physical AI - one model that understands the real world, predicts what happens next, and generates the actions a robot should take. Weights, code, datasets. All open. And this is really big. Lets dig into everything: 🧵show more

Something big is happening in robotics - and it’s... hiding in plain sight. This post is not about dancing robots but in the data that powers them. Open robotics datasets have exploded this year, turning the field into a more scalable and collaborative ecosystem. In just two years, Hugging Face datasets grew from 11k to over 600k - and robotics is by far the fastest-growing segment. We went from 1k robotics datasets in 2024 to 27k in 2025! For comparison, text generation, the second-largest category, has only around 5k datasets in 2025. That gap is massive. Open datasets are important because robotics lives and dies by real-world robot data - video, actions, sensors, failures. By making this data easy to upload, reuse, and benchmark, researchers, startups, and large players are now releasing real-robot datasets that would have stayed locked inside labs just a few years ago. Major contributors include NVIDIA, LeRobot initiative, and a rapidly growing maker community. This surge is also enabled by cheaper video storage, better tooling, and an open-source AI culture now spilling into the physical world. And it really matters: open robotics data dramatically lowers entry barriers, accelerates learning-by-doing, and speeds up progress toward generalist and humanoid robots. Robotics won’t scale through hardware alone - but to a large extent through shared data. Viz below from AI World - link to the story and more viz/filters in comment.show more

every "open-source humanoid" i click on turns out to... be a robot that stands still for one demo and can't be reproduced. roboto_origin runs and jumps, and every part is actually sourceable. structure, electronics, training code, all public. you can build this one, not just watch its video.show more

Even after putting the July release plan on my... TV and putting on my big glasses.. I still can’t see any promotional items 😭 Fr Ch3, we love lingorm a lot but there is really so much we can do, as their company, surely a better promotional schedule can be done for an ongoing series Begging you to relook into this 🙏🙏🙏 #lingormshow more

Most humanoid projects talk about real work. Very few... last an hour on a real line. This week I saw a case that matters for anyone building robots, perception, or physical AI. Kinisi deployed its first mobile manipulation system into a live recycling facility. Not a demo. Not a staged test. A real production line with real output pressure. Why this matters if you want robotics to deliver real value on your floor: • Handles mixed glass with random poses and no fixed fixtures. • Runs real grasp selection under noise, vibration and production variability. • Maintains throughput while avoiding breakage on a delicate material. • Shows mobile manipulation doing actual shift work instead of controlled lab runs. Kinisi published a video that shows what the robot sees and how sensor data turns into action. This is the part most teams struggle to explain to customers, so the educational angle is useful for anyone working on adoption. On top of this, the team signed a pilot with a global automotive manufacturer to explore humanoid use cases in production. The direction is clear. Wheeled mobility (not legs!) plus strong perception seems to be shaping a large part of industrial humanoids right now. I know Brennand from earlier conversations and from our podcast session, and I am always glad to see European teams push the category forward. Wishing the Kinisi team continued success. —- Weekly robotics and AI insights. Subscribe free:show more

Unich ecosystem will soon have a new layer. And... today, we can share that this product has reached 99% completion. The remaining 1% is the final testing phase to ensure everything is truly worthy before it reaches the community. A big step for Unich - you’ll soon see why!show more

I didn’t expect AI to make ad creation this... fast. Just tested Pollo AI Marketing Studio to see what it can do. Tried making a sports streaming app ad from a single product image. No editing. No timeline. No production setup. Just picked a video format and it generated a full video ad in seconds. What stood out wasn’t just the output,, it was how simple the whole process is now. What used to take multiple steps and tools can now be done in a single workflow. Curious how others see this, would you use something like this for ads?show more

NEW: New York City mayor Eric Adams has unveiled... the Knightscope K5 security robot to patrol the subway station in Times Square. There’s no plan to solve the migrant crisis but at least you have a robot, NYC! The 400 pound robot, was leased by the NYPD for 6 months & will cost them $12,500. “We’re committed to exploring innovative tools to continue to make this city the safest big city in America, and this robot K5, it has the potential to serve as an important tool in our toolbox,” Adams said. In 2017, the city tried out a similar robot however it decided to take a swim in a fountain and drowned itself. Clown city.show more