Digital twins make deployments! 🔄 Digital twins are more... than just simulation, they let you test and fix everything before touching real hardware. The biggest win is catching problems early. You can test the complete system virtually, including all the control logic and data flows. Finding a bug in simulation takes hours. Finding it on-site during installation takes days and costs serious money. The second benefit is predictable deployment. Instead of discovering surprises when the robots arrive, you've already worked through the issues in the virtual model. The third advantage is automation. The operator interface gets generated automatically from the digital model. The old way was: build the system, write all the code, install the hardware, then spend weeks debugging on-site. Cool example here! ;-) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →show more

When robots take the night shift shopping spree! 🛍️... Robots navigate through dm-drogerie markt Deutschland stores at night to create a digital replica of the store's layout, known as a "digital twin." Developed Ubica Robotics GmbH, these autonomous robots scan shelves to provide real-time information about item positions, pricing, stock gaps, and store layouts. 🏪 This data serves multiple purposes, such as improving staff routes, enhancing inventory management, and informing the creation of planograms for more efficient store layouts. It combines digital twin with robotics and it's really cool use case. What are your thoughts? ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →show more

What if doctors could test treatments on a virtual... version of you first? 🫀 The VITAL program is building “digital twins” of the human cardiovascular system to predict how patients may respond to care before it happens. Join us at the VITAL Proposers Day on March 31.show more

AI-Powered weed control! 🌱 The LaserWeeder machine from Carbon... Robotics has captured the imagination of American farmers. This technology uses AI system to identify weeds in crops and zap them with precision thermal bursts from lasers. Bit of facts about the cool robot: → The machine can remove weeds from over 40 crops and can also be used for thinning crops. → It can operate in virtually all weather conditions, with millimeter accuracy at all times, and can work through the night thanks to its built-in lighting system. → High-resolution cameras and computer machine learning enable it to distinguish weeds from crops in milliseconds. → The LaserWeeder can replace about 70 workers on farms where manual weeding is used, and can weed up to four acres per hour. What other applications can we expect to see in the future in farming applications? Btw. I believe farming robots are A HUGE THING in robotics! 🔥 ~~ ♻ Join the weekly robotics newsletter, and never miss any news →show more

Smart Monkey Sunday: Learning the Math 🧮 A lot... of people build trading bots by stacking indicators without really understanding what they measure underneath. RSI, MACD, VWAP - they all react to different things, and they all fail differently depending on market conditions. Once you start automating execution, that distinction matters much more because the system will follow the logic exactly as written. The monkey in the video is taking the more useful Sunday approach: slowing down and reviewing the math before deploying anything. That’s also why the Bot Arena includes a virtual balance. You can test ideas, break them, adjust parameters and see how the logic behaves before risking real capital. 👉 Test your logic in the Arena:show more

Sub-40ms full self-driving on a $100 drone! 🚁 A... demonstration showing a complete full-self-driving pipeline running in under 40 milliseconds on a $100 drone. The prompt: "Find the bike and land." No pre-mapping. Running real-time on commodity hardware. For context, human reaction time is around 200-250ms. This drone is processing sensor data, understanding natural language commands, identifying objects, planning motion, and executing control, all in 40ms. This is what happens when foundation models meet efficient inference. The models get smaller and faster while maintaining capability. The hardware gets cheaper while getting more powerful. The intersection makes previously impossible applications suddenly viable. A few years ago, this required thousands of dollars in compute, pre-mapped environments, and cloud connectivity. Now it runs locally on hardware that costs less than a nice dinner. Awesome stuff Chester & ! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →show more

John McAfee's view on the #SEC was clear; you... can't stop the unstoppable, and #XRP is unstoppable So they shifted with #regulatory capture of the #SEC and #digital infrastructure, aiding institutions to maintain control in the dollar centric system. That's what #ETHGate is aboutshow more

This is how you unlock the next billion software... developers. The new Replit ⠕ Agent 3 (they just launched) is the most advanced vibe-coding agent in the world. 1. Smarter than any other vibe-coding model (10x more autonomous than the previous version). 2. It thinks harder and lasts longer than any other model (up to 200 minutes running fully autonomously). 3. The agent can now use an actual browser to test and fix its own code. 4. 3x faster and 10x more cost-effective than any other "Computer Use" for testing. 5. It can build other agents and automations to take care of repetitive tasks. Seeing the agent test the application autonomously is science fiction!show more

From simulation to reality 🤖 Robotics creator Skyentific built... a walking bipedal robot using a simulation-first approach to design, test, and iterating in virtual environments before deploying in the real world. Powered by the NVIDIA Isaac platform and NVIDIA Jetson for on-device AI and control. 📖 #NationalRoboticsWeekshow more

A Letter to Our Community: The Road Ahead for... Robotics To our Community and Partners, As we step into 2026, our mission at Axis is clearer than ever: Constructing the definitive End-to-End Scaling Layer for Robotics. Our goal is to accelerate the transfer of diverse human intelligence into Robotics General Intelligence (RGI). By owning the critical path of intelligence creation, we are turning the physical limitations of robotics into a scalable, software-driven future. Here is our strategic outlook and roadmap for the year ahead. The Core Thesis: Simulation is the Only Way Out The path to RGI is currently blocked by Data Scarcity, Generalization Fragility, and Hardware Fragmentation. At Axis, we believe Simulation is the only way out. Our Simulation Data Platform and Data Augmentation Engine transform raw data into "Synthetic Gold". Backed by academic milestones like Roboverse, Skill Blending, and GraspVLA, we have proven that pure simulation can achieve the generalization required for the real world. We don’t just collect data; we architect it. The Engine: Why Crypto? We believe RGI should come from all, not a few. Crypto is not just a feature; it is the primitive that powers our entire ecosystem flywheel: - Incentive Mechanism: Democratizing contribution and rewarding the trainers and developers. - Assetization: Turning proprietary data and refined models into liquid, ownable assets. - Verifiable Workflow: We are opening the "Black Box" of AI. By bringing total transparency to the Task Generation → Data Collection → Model Training pipeline, we ensure every byte of intelligence is verifiable, traceable, and secure. 2026 Strategic Deliverables This year, we are committed to delivering three foundational pillars: - The World's Largest Training Dataset for Robots: A robot training set—diverse, high-quality interaction data at an unprecedented scale. - A Robotics Foundation Model: A universal robotic brain trained on our pure simulation and synthetic data, capable of robust cross-embodiment transfer and open-world adaptability. - Evolvable Robot Hardware: Robots deployed with Axis models that autonomously evolve through continuous interaction, turning every deployment into a self-improving node within our RGI network. The Ultimate Vision We are building more than models; we are architecting the Distributed Machine Economy. A future where every dataset, model, and robotic embodiment is a verifiable asset in a global, autonomous network. Thank you for building the future of intelligence with us✌️📷show more

When the Boeing 787 operates on autopilot, its sophisticated... flight control system manages the flaperons to maintain stable flight, particularly during turbulence. The system continuously receives data from various sensors, including airspeed indicators, inertial navigation systems, and accelerometers. When turbulence is detected, the autopilot system automatically adjusts the position of the flaperons to counteract any rolling motions caused by gusts or disturbances in the airflow.show more

When the Boeing 787 operates on autopilot, its sophisticated... flight control system manages the flaperons to maintain stable flight, particularly during turbulence. The system continuously receives data from various sensors, including airspeed indicators, inertial navigation systems, and accelerometers. When turbulence is detected, the autopilot system automatically adjusts the position of the flaperons to counteract any rolling motions caused by gusts or disturbances in the airflow.show more

This is the reason why you never go full... digital. Immediately the bike got locked, when the system find it out that the man didn't have enough digital money in his bike-sharing app. So he fell off the shared bike.show more

Lots of upgrades going on in Sharp including a... players lounge area, nutrition station, office enhancements, custom furniture, digital scorers tables, and more. We will “Celebrate Sharp” as we embrace the history of the HBU/HCU program and the players who came through it. A big part of that celebration is upgrading the facility and making it the best it can be as we enhance the student-athlete, fan, and employee experience for all who spend time in the building. We look forward to showing all the upgrades in the coming weeks!show more

All we do is win win win!!!!!! KellyRae, the... journey has been long and Intense, but you've persevered. From the early days of finding it difficult to form alliances to the back to back nominations , you've shown incredible resilience and strategic thinking. You've faced challenges head-on during tasks, formed strong bonds with your housemates, and captured the hearts of millions. Your journey has been a testament of GRACE and you've always remained true to yourself. As you stand on the brink of victory, remember all the incredible moments you've shared with us. You've made us laugh, you've made us on our toes, and you've inspired us. No matter what the outcome, you've already won our hearts. Go out there and make history! Good luck King KelllyRae, KaySquad can’t wait to congratulate you again tonight 🫶💫 KELLYRAE TAKES THE CROWN THE MONEY IS MARRIED #KellyRaeTheWinner #DoubleKayX100M #BBNaijashow more

GPT-4 is the new data scientist 🤯 With the... new OpenAI code interpreter model, you just have to upload the data and provide instructions in simple english. The model does everything from cleaning data to generating insightful visualizations on autopilot!!show more

Open innovation is accelerating, and it’s happening on the... edge. ⚡ OpenClaw, now running fully on the NVIDIA Jetson platform, shows how the robotics community is advancing intelligent autonomy, from real-time hardware-in-the-loop testing to robots that can generate their own code. 📖 #NationalRoboticsWeekshow more

System identification (sysid) is the process of finding the... physical parameters that make a simulation match reality. If you're training an RL locomotion policy in simulation, the accuracy of your motor model directly affects how well the policy transfers to the real robot. A recent git commit by Kevin Zakka added a sysid toolbox to MuJoCo which automates this process: you provide recorded motor data and a MuJoCo model, and it optimizes the model parameters to minimize the difference between simulated and real trajectories. For my RobStride Dynamics RS02 QDD motors (17 Nm peak, 7.75:1 gear), I built a Rust tool that sends multi-sine torque excitation at 1 kHz and records position/velocity feedback. I then feed this data into MuJoCo's sysid optimizer.show more

The Vision Pro may be off to a rocky... start, but Apple might not be done trying to put hardware on your face. Liquid Glass, the design motif that is going to change the look and feel of all Apple devices starting later this year, takes explicit inspiration from the Vision Pro's augmented reality interface. And as Meta's Ray-Bans continue growing in popularity, and Google takes a second swing at smart glasses, the rumor mill is in full swing about the potential for Apple to enter the market. Especially among those tinkering with the early developer access to Liquid Glass, the potential for it to fuel a smart glass-oriented operating system is clear. After all, transparent design elements are most important when they might prevent you from running into something. Get immersed in more rumors here:show more

When the Boeing 787 operates on autopilot, its sophisticated... flight control system manages the flaperons to maintain stable flight, particularly during turbulence. The system continuously receives data from various sensors, including airspeed indicators, inertial navigation systems, and accelerometers. When turbulence is detected, the autopilot system automatically adjusts the position of the flaperons to counteract any rolling motions caused by gusts or disturbances in the airflow. These adjustments are made in real-time to ensure the aircraft remains on its intended flight path and passengers experience minimal discomfort.show more