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Why add sensors and complex systems when physics can do the job? This production line sorts products using only weight and controlled bursts of air. ✅ No cameras or vision models ✅ No expensive integration ✅ Just reliable, repeatable separation at scale It’s a reminder that not every automation... show more

Ilir Aliu

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532,401 views • 6 months ago •via X (Twitter)

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AI in robotics gets all the attention right now, but sometimes the most interesting work is very practical. Viet built a small vision system that counts potatoes on a conveyor belt. No giant dataset. No huge model. Just a clear problem and a smart setup. He used Ultralytics’ ObjectCounter, trained a tiny YOLO11 nano model, and because there was no potato dataset, he annotated a single frame with SAM 2 and trained from that. One frame. Still works across the whole video. It is a good reminder that useful AI in industry often looks like this. Focused. Lightweight. Solves a real task. If you work in manufacturing or robotics, these small systems are usually the fastest wins. They save time, reduce errors, and do not need massive infrastructure. Nice work, Viet. His projects: —- Weekly robotics and AI insights. Subscribe free:

AI in robotics gets all the attention right now, but sometimes the most interesting work is very practical. Viet built a small vision system that counts potatoes on a conveyor belt. No giant dataset. No huge model. Just a clear problem and a smart setup. He used Ultralytics’ ObjectCounter, trained a tiny YOLO11 nano model, and because there was no potato dataset, he annotated a single frame with SAM 2 and trained from that. One frame. Still works across the whole video. It is a good reminder that useful AI in industry often looks like this. Focused. Lightweight. Solves a real task. If you work in manufacturing or robotics, these small systems are usually the fastest wins. They save time, reduce errors, and do not need massive infrastructure. Nice work, Viet. His projects: —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

1,674,953 views • 7 months ago

Hardware Production 🤝 Robotics But these motors... are CRAZY synced: CNC motor synchronization helps make sure that different motors in a machine work together smoothly so that the machine can cut and shape materials with perfect accuracy. This is really important for making sure the machine does its job correctly. ✅ Helps the machine's parts move together perfectly, reducing mistakes and making things more accurate. ✅ Prevents the machine from getting damaged by keeping everything aligned. ✅ Allows the machine to work faster by making sure the motors are in sync. Synchronized CNC motors make sure machines work better, last longer, and create more precise products. —- Weekly robotics and AI insights. Subscribe free:

Hardware Production 🤝 Robotics But these motors... are CRAZY synced: CNC motor synchronization helps make sure that different motors in a machine work together smoothly so that the machine can cut and shape materials with perfect accuracy. This is really important for making sure the machine does its job correctly. ✅ Helps the machine's parts move together perfectly, reducing mistakes and making things more accurate. ✅ Prevents the machine from getting damaged by keeping everything aligned. ✅ Allows the machine to work faster by making sure the motors are in sync. Synchronized CNC motors make sure machines work better, last longer, and create more precise products. —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

317,826 views • 7 months ago

XYZ: Let’s build a humanoid company to save humanity from the labour shortage Meanwhile: —- Weekly robotics and AI insights. Subscribe free:

XYZ: Let’s build a humanoid company to save humanity from the labour shortage Meanwhile: —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu - eu/acc

27,345 views • 6 months ago

🛠️ What if a robot could invent its own tools. And teach itself how to use them? That’s exactly what VLMgineer does: a new framework that lets Vision Language Models (VLMs) design physical tools and the actions to use them, entirely on their own. No templates. No human demonstrations. Just raw, AI-driven creativity. Why it matters ✅ Co-designs tools and actions together using VLMs, ensuring tight coupling between form and function ✅ Uses VLM-guided evolution (not random search) to refine designs intelligently ✅ Outperforms human-designed tools by +64.7% in task success across 12 RoboToolBench challenges ✅ Produces better-than-everyday tools for real manipulation tasks—measured in success rate and elegance It builds on the emerging trend of large-model-guided evolutionary design (like Eureka and AlphaEvolve) and brings it into physical robotics. It opens the door to general-purpose, automated hardware design, no strong priors needed. Code & paper: —- Weekly robotics and AI insights. Subscribe free:

🛠️ What if a robot could invent its own tools. And teach itself how to use them? That’s exactly what VLMgineer does: a new framework that lets Vision Language Models (VLMs) design physical tools and the actions to use them, entirely on their own. No templates. No human demonstrations. Just raw, AI-driven creativity. Why it matters ✅ Co-designs tools and actions together using VLMs, ensuring tight coupling between form and function ✅ Uses VLM-guided evolution (not random search) to refine designs intelligently ✅ Outperforms human-designed tools by +64.7% in task success across 12 RoboToolBench challenges ✅ Produces better-than-everyday tools for real manipulation tasks—measured in success rate and elegance It builds on the emerging trend of large-model-guided evolutionary design (like Eureka and AlphaEvolve) and brings it into physical robotics. It opens the door to general-purpose, automated hardware design, no strong priors needed. Code & paper: —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

13,984 views • 6 months ago

Placing objects sounds simple… until robots have to do it. This method makes it simple, fast & reliable. [Github ⬇️] Robotic object placement is tough, especially with stacking, hanging, or insertion. AnyPlace is a new two-stage method that uses only synthetic data and a vision-language model to teach robots where and how to place objects; even in the real world. Why this works ✅ Finds the right spot with help from vision-language models ✅ Handles stacking, insertion, and hanging with no real-world training ✅ Trained on synthetic data using Blender and IsaacSim ✅ Works in the real world without fine-tuning It shows that smart use of simulation and language models can make robotic placement tasks easier, faster, and more reliable. Github: Paper: Thank you for sharing Animesh Garg !

Placing objects sounds simple… until robots have to do it. This method makes it simple, fast & reliable. [Github ⬇️] Robotic object placement is tough, especially with stacking, hanging, or insertion. AnyPlace is a new two-stage method that uses only synthetic data and a vision-language model to teach robots where and how to place objects; even in the real world. Why this works ✅ Finds the right spot with help from vision-language models ✅ Handles stacking, insertion, and hanging with no real-world training ✅ Trained on synthetic data using Blender and IsaacSim ✅ Works in the real world without fine-tuning It shows that smart use of simulation and language models can make robotic placement tasks easier, faster, and more reliable. Github: Paper: Thank you for sharing Animesh Garg !

Ilir Aliu - eu/acc

22,843 views • 1 year ago

A metal origami! 🪭 This method is called Hyperbolic Metal Forming and is hypnotizing to watch. Instead of shaping metal with slow mechanical force, HMF uses controlled shockwaves to form complex geometries at extreme speed, often without the need for heavy dies or post-processing. The result is stronger, lighter parts with shapes that are almost impossible using traditional stamping. That’s why you see it popping up in aerospace, automotive structures, and defense components. Think of it like metal origami, but driven by high-energy pulses instead of presses. A small reminder that some things in manufacturing come from physics, not just automation. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

A metal origami! 🪭 This method is called Hyperbolic Metal Forming and is hypnotizing to watch. Instead of shaping metal with slow mechanical force, HMF uses controlled shockwaves to form complex geometries at extreme speed, often without the need for heavy dies or post-processing. The result is stronger, lighter parts with shapes that are almost impossible using traditional stamping. That’s why you see it popping up in aerospace, automotive structures, and defense components. Think of it like metal origami, but driven by high-energy pulses instead of presses. A small reminder that some things in manufacturing come from physics, not just automation. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

567,473 views • 7 months ago

America and China build robots. Europe builds committees. Tesla just showed Optimus in pilot production. Humanoids being assembled like cars. Meanwhile, in Europe, we’re still arguing over regulation, ethics boards, and frameworks that nobody in the real world reads. This isn’t about copying the US. It’s about realizing that if we keep optimizing for safety over progress, we’ll end up safe... but irrelevant. I work in robotics companies every day. We have world-class talent here... But talent without permission to execute is just potential wasted. —- Weekly robotics and AI insights. Subscribe free:

America and China build robots. Europe builds committees. Tesla just showed Optimus in pilot production. Humanoids being assembled like cars. Meanwhile, in Europe, we’re still arguing over regulation, ethics boards, and frameworks that nobody in the real world reads. This isn’t about copying the US. It’s about realizing that if we keep optimizing for safety over progress, we’ll end up safe... but irrelevant. I work in robotics companies every day. We have world-class talent here... But talent without permission to execute is just potential wasted. —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

184,047 views • 8 months ago

Robotics keeps hitting the same wall. Single task RL works, but... it does not scale to hundreds of tasks or new embodiments. This new paper looks like a real step toward fixing that. The team introduces MMBench, a benchmark with 200 tasks across many domains and robots, and Newt, a language conditioned world model trained online across all 200 tasks at once. The simple idea behind Newt: The model learns from demos to get the right priors It trains across many tasks through online interaction It uses language to ground the goal It adapts fast when a new task shows up What stood out to me: ✅ One model trained on 200 tasks at the same time ✅ Language conditioned control for both states and RGB ✅ Better data efficiency than strong baselines ✅ Strong open loop control ✅ Fast adaptation to new tasks and embodiments ✅ Full release of 200 checkpoints, 4000 demos, code, and benchmark This is a good push toward general control instead of one model per task. If you want the full paper: Project page: —- Weekly robotics and AI insights. Subscribe free:

Robotics keeps hitting the same wall. Single task RL works, but... it does not scale to hundreds of tasks or new embodiments. This new paper looks like a real step toward fixing that. The team introduces MMBench, a benchmark with 200 tasks across many domains and robots, and Newt, a language conditioned world model trained online across all 200 tasks at once. The simple idea behind Newt: The model learns from demos to get the right priors It trains across many tasks through online interaction It uses language to ground the goal It adapts fast when a new task shows up What stood out to me: ✅ One model trained on 200 tasks at the same time ✅ Language conditioned control for both states and RGB ✅ Better data efficiency than strong baselines ✅ Strong open loop control ✅ Fast adaptation to new tasks and embodiments ✅ Full release of 200 checkpoints, 4000 demos, code, and benchmark This is a good push toward general control instead of one model per task. If you want the full paper: Project page: —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

70,090 views • 7 months ago

MANUS AI: HYPE VS. REALITY 🔍 Yichao 'Peak' Ji (co-founder of ) confirmed rumors: ✅ Built on Anthropic Claude Sonnet, not their own foundation model ✅Has access to 29 tools and uses Browser Use open-source for browser control ✅User communicates with executor agent and not planner or other agents. ✅Each user gets isolated sandbox environment ✅Outperforms OpenAI Deep Research on GAIA benchmark Building AI products doesn't require training your own foundation models. We're probably just scratching the surface of what existing models can do with the right tooling and integration!

MANUS AI: HYPE VS. REALITY 🔍 Yichao 'Peak' Ji (co-founder of ) confirmed rumors: ✅ Built on Anthropic Claude Sonnet, not their own foundation model ✅Has access to 29 tools and uses Browser Use open-source for browser control ✅User communicates with executor agent and not planner or other agents. ✅Each user gets isolated sandbox environment ✅Outperforms OpenAI Deep Research on GAIA benchmark Building AI products doesn't require training your own foundation models. We're probably just scratching the surface of what existing models can do with the right tooling and integration!

Philipp Schmid

202,928 views • 1 year ago

Some uses of AI remind me why technology matters. After years of seeing automation focus on speed and cost, this is the kind of progress that stands out. China is now using AI-powered robots inside grain warehouses, places so dangerous that workers can sink into loose grain like quicksand or suffocate in dust explosions. These robots map, navigate, and level the grain autonomously, while humans stay safely behind monitors. It is a quiet revolution. Not about efficiency or profit, but about dignity and safety. This is the kind of automation I deeply believe in, where technology protects people before it replaces them. If AI should remove humans from danger first, which industry should it transform next? #AI #Automation #Robotics #ArtificialIntelligence #TechForGood #Innovation #FutureOfWork

Some uses of AI remind me why technology matters. After years of seeing automation focus on speed and cost, this is the kind of progress that stands out. China is now using AI-powered robots inside grain warehouses, places so dangerous that workers can sink into loose grain like quicksand or suffocate in dust explosions. These robots map, navigate, and level the grain autonomously, while humans stay safely behind monitors. It is a quiet revolution. Not about efficiency or profit, but about dignity and safety. This is the kind of automation I deeply believe in, where technology protects people before it replaces them. If AI should remove humans from danger first, which industry should it transform next? #AI #Automation #Robotics #ArtificialIntelligence #TechForGood #Innovation #FutureOfWork

Pascal Bornet

31,533 views • 4 months ago

BaBot: A Ball-Balancing Robotics Kit BaBot is a do-it-yourself ball-balancing robot kit designed as a hands-on platform for learning robotics and control systems. It enables users to explore concepts such as PID control, sensors, actuators, and software integration through practical experimentation. The kit is intended for students, makers, and others interested in applied robotics without requiring a formal engineering background. Credit: Babot Project #arduino #ai #robotics #3dprint #engineering

BaBot: A Ball-Balancing Robotics Kit BaBot is a do-it-yourself ball-balancing robot kit designed as a hands-on platform for learning robotics and control systems. It enables users to explore concepts such as PID control, sensors, actuators, and software integration through practical experimentation. The kit is intended for students, makers, and others interested in applied robotics without requiring a formal engineering background. Credit: Babot Project #arduino #ai #robotics #3dprint #engineering

Wevolver

25,314 views • 5 months ago

TESLA ENTERS ITS AI ERA: AUTONOMY, ROBOTICS, AND A $3T VISION Tesla is entering a defining moment. •⁠ ⁠Autonomy is no longer a promise. It is live on the streets •⁠ ⁠AI is scaling fast •⁠ ⁠Robotics turns vision into real-world leverage •⁠ ⁠With Tesla scaled, a $3T bull case emerges The focus is expanding beyond vehicles into full-stack intelligent systems. A new phase led by AI, autonomy, and robotics is accelerating. Source: Tesla, xAI, Elon Musk

TESLA ENTERS ITS AI ERA: AUTONOMY, ROBOTICS, AND A $3T VISION Tesla is entering a defining moment. •⁠ ⁠Autonomy is no longer a promise. It is live on the streets •⁠ ⁠AI is scaling fast •⁠ ⁠Robotics turns vision into real-world leverage •⁠ ⁠With Tesla scaled, a $3T bull case emerges The focus is expanding beyond vehicles into full-stack intelligent systems. A new phase led by AI, autonomy, and robotics is accelerating. Source: Tesla, xAI, Elon Musk

Mario Nawfal

96,604 views • 6 months ago

TESLA ENTERS ITS AI ERA: AUTONOMY, ROBOTICS, AND A $3T VISION Tesla is entering a defining moment. •⁠ ⁠Autonomy is no longer a promise. It is live on the streets •⁠ ⁠AI is scaling fast •⁠ ⁠Robotics turns vision into real-world leverage •⁠ ⁠With Tesla scaled, a $3T bull case emerges The focus is expanding beyond vehicles into full-stack intelligent systems. A new phase led by AI, autonomy, and robotics is accelerating. Source: Tesla, xAI, Elon Musk

TESLA ENTERS ITS AI ERA: AUTONOMY, ROBOTICS, AND A $3T VISION Tesla is entering a defining moment. •⁠ ⁠Autonomy is no longer a promise. It is live on the streets •⁠ ⁠AI is scaling fast •⁠ ⁠Robotics turns vision into real-world leverage •⁠ ⁠With Tesla scaled, a $3T bull case emerges The focus is expanding beyond vehicles into full-stack intelligent systems. A new phase led by AI, autonomy, and robotics is accelerating. Source: Tesla, xAI, Elon Musk

Mario Nawfal

154,713 views • 6 months ago

Engineers: “This is a breakthrough in soft robotics.” Twitter: “Bro built an AI vibrator.” 🤦‍♂️ Researchers at the University of Southern Denmark created a soft robot that moves by inflating and contracting its body like a worm. Jokes aside… robots like this could actually be useful for rescue missions and environments where traditional robots fail. But let’s be honest: you already know what most comment sections are going to talk about 💀 🎥 Media: SDU Soft Robotics ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.

Engineers: “This is a breakthrough in soft robotics.” Twitter: “Bro built an AI vibrator.” 🤦‍♂️ Researchers at the University of Southern Denmark created a soft robot that moves by inflating and contracting its body like a worm. Jokes aside… robots like this could actually be useful for rescue missions and environments where traditional robots fail. But let’s be honest: you already know what most comment sections are going to talk about 💀 🎥 Media: SDU Soft Robotics ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators.

CTO ROBOTICS Media

415,396 views • 1 month ago

🚨 Claude just changed the game. All you need is: 💻 A laptop 🌐 Internet connection ⏰ 60 minutes a day That’s enough to build a $7,200/month online income stream using AI. No coding. No expensive setup. No years of experience. Most people still use AI for fun… But smart creators are quietly using Claude to: • Create digital products • Offer AI services • Write viral content • Automate work • Build online income streams Usually, I sell this detailed guide for $97… But today you can get it FREE. 🎁 Inside you'll discover: ✅ The exact asset ✅ My full workflow ✅ The Claude prompts I personally use ✅ How to scale to $10K/month ✅ How beginners can start fast Want it? ❤️ Like this post 💬 Comment “AI” ➕ Follow me to receive it in DM ⏳ Available FREE for 48 hours only.

🚨 Claude just changed the game. All you need is: 💻 A laptop 🌐 Internet connection ⏰ 60 minutes a day That’s enough to build a $7,200/month online income stream using AI. No coding. No expensive setup. No years of experience. Most people still use AI for fun… But smart creators are quietly using Claude to: • Create digital products • Offer AI services • Write viral content • Automate work • Build online income streams Usually, I sell this detailed guide for $97… But today you can get it FREE. 🎁 Inside you'll discover: ✅ The exact asset ✅ My full workflow ✅ The Claude prompts I personally use ✅ How to scale to $10K/month ✅ How beginners can start fast Want it? ❤️ Like this post 💬 Comment “AI” ➕ Follow me to receive it in DM ⏳ Available FREE for 48 hours only.

NadzAI

12,318 views • 8 days ago

Traditional factory automation follows three rules: 1. Minimise degrees of freedom 2. Minimise actuation 3. Minimise the requirement for feedback Let geometry and gravity do the hard work. This is a step feeder. Reciprocating plates push parts upward, one step at a time. Parts that sit stable on the ledge rise to the top. Parts that don't? They tip off and fall back into the hopper. A chain conveyor carries the parts along and a simple tool knocks off any that are misaligned. No robot. No vision. No gripper. Just continuous circulation until every part finds its perfect orientation. Bowl feeders, gravity slides, step feeders, escapements—all built on the same principle. Constrain movement. Let shape and weight do the sorting. Modern robotics throws sensors, actuators, and computing at every problem. Sometimes the smarter move is less.

Traditional factory automation follows three rules: 1. Minimise degrees of freedom 2. Minimise actuation 3. Minimise the requirement for feedback Let geometry and gravity do the hard work. This is a step feeder. Reciprocating plates push parts upward, one step at a time. Parts that sit stable on the ledge rise to the top. Parts that don't? They tip off and fall back into the hopper. A chain conveyor carries the parts along and a simple tool knocks off any that are misaligned. No robot. No vision. No gripper. Just continuous circulation until every part finds its perfect orientation. Bowl feeders, gravity slides, step feeders, escapements—all built on the same principle. Constrain movement. Let shape and weight do the sorting. Modern robotics throws sensors, actuators, and computing at every problem. Sometimes the smarter move is less.

Jack 🤖

467,344 views • 7 months ago

ELON: ONLY AI AND ROBOTICS CAN SAVE AMERICA FROM THE DEBT CRISIS “The only way to get us out of the debt crisis and to prevent America from going bankrupt is AI and robotics. We need to grow the economy at a rate that allows us to pay off our debt.” Source: Joe Rogan

ELON: ONLY AI AND ROBOTICS CAN SAVE AMERICA FROM THE DEBT CRISIS “The only way to get us out of the debt crisis and to prevent America from going bankrupt is AI and robotics. We need to grow the economy at a rate that allows us to pay off our debt.” Source: Joe Rogan

Mario Nawfal

137,627 views • 8 months ago

Polymorphic moulding: a manufacturing method that forms parts using a grid of computer-controlled pins: Each pin can move up or down independently, so together they shape a surface that acts like a custom mould. Instead of building a fixed mould for every product, the machine quickly repositions the pins to match a new digital model. This means a mould can be created in minutes, used, and then reshaped again for the next design. Because the hardware stays the same and only its configuration changes: > no permanent tooling is needed > very little material is wasted > setup time between products is minimal The system essentially turns mould making into a programmable process. Engineers send a design file, the pins form the mould geometry, and the material is cast or formed inside it. Especially useful for rapid prototyping and customised manufacturing, where many different shapes must be produced in small quantities without rebuilding tools each time. Credit: ---- Weekly robotics and AI insights. Subscribe free:

Polymorphic moulding: a manufacturing method that forms parts using a grid of computer-controlled pins: Each pin can move up or down independently, so together they shape a surface that acts like a custom mould. Instead of building a fixed mould for every product, the machine quickly repositions the pins to match a new digital model. This means a mould can be created in minutes, used, and then reshaped again for the next design. Because the hardware stays the same and only its configuration changes: > no permanent tooling is needed > very little material is wasted > setup time between products is minimal The system essentially turns mould making into a programmable process. Engineers send a design file, the pins form the mould geometry, and the material is cast or formed inside it. Especially useful for rapid prototyping and customised manufacturing, where many different shapes must be produced in small quantities without rebuilding tools each time. Credit: ---- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

38,234 views • 4 months ago

1/ World models are getting popular in robotics 🤖✨ But there’s a big problem: most are slow and break physical consistency over long horizons. 2/ Today we’re releasing Interactive World Simulator: An action-conditioned world model that supports stable long-horizon interaction. 3/ Key result: ✅ 10+ minutes of interactive prediction ✅ 15 FPS ✅ on a single RTX 4090🔥 4/ Why this matters: it unlocks two critical robotics applications: 🚀 Scalable data generation for policy training 🧪 Faithful policy evaluation 5/ You can play with our world model NOW at NO git clone, NO pip install, NO python. Just click and play! NOTE ⚠️ ALL videos here are generated purely by our model in pixel space! They are **NOT** from a real camera More details coming 👇 (1/9) #Robotics #AI #MachineLearning #WorldModels #RobotLearning #ImitationLearning

1/ World models are getting popular in robotics 🤖✨ But there’s a big problem: most are slow and break physical consistency over long horizons. 2/ Today we’re releasing Interactive World Simulator: An action-conditioned world model that supports stable long-horizon interaction. 3/ Key result: ✅ 10+ minutes of interactive prediction ✅ 15 FPS ✅ on a single RTX 4090🔥 4/ Why this matters: it unlocks two critical robotics applications: 🚀 Scalable data generation for policy training 🧪 Faithful policy evaluation 5/ You can play with our world model NOW at NO git clone, NO pip install, NO python. Just click and play! NOTE ⚠️ ALL videos here are generated purely by our model in pixel space! They are NOT from a real camera More details coming 👇 (1/9) #Robotics #AI #MachineLearning #WorldModels #RobotLearning #ImitationLearning

Yixuan Wang

125,998 views • 4 months ago