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Octo-Bouncer. Highly precise stepper motor driving with a Teensy 4.0 and custom pulse generating algorithm and PC based image processing with the goal of getting a machine to juggle a ping pong ball. [📍 bookmark for later to give it a try!] GitHub: ——- Weekly robotics and AI insights.... show more

Ilir Aliu

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69,912 görüntüleme • 7 ay önce •via X (Twitter)

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A collection of Python robotics algorithms (localization, SLAM, path planning, motion planning). (📍GitHub ) Python sample codes and textbook for robotics algorithms. GitHub: —— Weekly robotics and AI insights. Subscribe free:

A collection of Python robotics algorithms (localization, SLAM, path planning, motion planning). (📍GitHub ) Python sample codes and textbook for robotics algorithms. GitHub: —— Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

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An open source project developing a desktop “Pick-and-Place” machine. (📍All of the source on GitHub) The LumenPnP can be used for assembling electronic components onto circuit boards! The project is getting a huge update with a whole new control box, integrating the pneumatics required to pick the parts, and a custom controller. > The controller uses Marlin firmware as the brain, and controls six stepper motors to move the machine. > It also controls two pneumatic pumps and valves for actually picking up the parts with the machine's nozzle tips. All of the source for the machine are available on GitHub!: Credit: Opulo with the awesome Stephen Hawes 👋 —- Weekly robotics and AI insights. Subscribe free:

An open source project developing a desktop “Pick-and-Place” machine. (📍All of the source on GitHub) The LumenPnP can be used for assembling electronic components onto circuit boards! The project is getting a huge update with a whole new control box, integrating the pneumatics required to pick the parts, and a custom controller. > The controller uses Marlin firmware as the brain, and controls six stepper motors to move the machine. > It also controls two pneumatic pumps and valves for actually picking up the parts with the machine's nozzle tips. All of the source for the machine are available on GitHub!: Credit: Opulo with the awesome Stephen Hawes 👋 —- Weekly robotics and AI insights. Subscribe free:

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A fully open source mocap system that works with cheap webcams: The FreeMoCap Project A free-and-open-source, hardware-and-software-agnostic, minimal-cost, research-grade, motion capture system and platform for decentralized scientific research, education, and training: —- Weekly robotics and AI insights. Subscribe free:

A fully open source mocap system that works with cheap webcams: The FreeMoCap Project A free-and-open-source, hardware-and-software-agnostic, minimal-cost, research-grade, motion capture system and platform for decentralized scientific research, education, and training: —- Weekly robotics and AI insights. Subscribe free:

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A high-quality haptic control for robots as a weekend project? All for under $600. [📍 Save Github & arXiv for later] A team built DOGlove, an open-source haptic glove for robot teleoperation that you can assemble yourself for under $600. It is built for real control, not demos. • Tracks 21 degrees of freedom with a custom joint design • Provides cable-driven force feedback plus fingertip haptics • Can be used to collect data for imitation learning Affordable haptics could make teleoperation more reliable and improve the quality of data we use to train physical AI. Project link: Credit: DOGlove team, shared by Han Zhang —- Weekly robotics and AI insights. Subscribe free:

A high-quality haptic control for robots as a weekend project? All for under $600. [📍 Save Github & arXiv for later] A team built DOGlove, an open-source haptic glove for robot teleoperation that you can assemble yourself for under $600. It is built for real control, not demos. • Tracks 21 degrees of freedom with a custom joint design • Provides cable-driven force feedback plus fingertip haptics • Can be used to collect data for imitation learning Affordable haptics could make teleoperation more reliable and improve the quality of data we use to train physical AI. Project link: Credit: DOGlove team, shared by Han Zhang —- Weekly robotics and AI insights. Subscribe free:

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A highly affordable, fully 3D-printed robotic arm. [📍 open source] Features: > Fully 3D printed design > 7+1 DOF > or physical AI research & imitation learning Zero custom hardware needed, just print and add your servo kit! > URDF files > STEP & STL files > Step-by-step assembly manual > Ready-to-print Bambu Lab projects Great project, Alex Batsuev! Download and build yours here: —— Weekly robotics and AI insights. Subscribe free:

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Image to Video with #Ray2 is here. Drop any image into Dream Machine to make it a video and bring it to life — from historic artifacts and paintings to memes, custom art and photos of any kind. Available now.

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A flapping-wing drone that actually handles its own vibrations. BionicBird’s X-Fly is not a propeller drone. It is an ornithopter with a six-axis gyro and precision G-sensors designed specifically to deal with the chaotic dynamics of wing flapping. • Sensor fusion tuned for flapping flight, not propeller stability • Ultra-light motors and custom kinematics • Biomimetic wings that alternate between flapping and gliding • No exposed propellers, lightweight and safe by design Instead of forcing nature into quadcopter physics, they designed the control system around how birds actually fly. Credit: —- Weekly robotics and AI insights. Subscribe free:

A flapping-wing drone that actually handles its own vibrations. BionicBird’s X-Fly is not a propeller drone. It is an ornithopter with a six-axis gyro and precision G-sensors designed specifically to deal with the chaotic dynamics of wing flapping. • Sensor fusion tuned for flapping flight, not propeller stability • Ultra-light motors and custom kinematics • Biomimetic wings that alternate between flapping and gliding • No exposed propellers, lightweight and safe by design Instead of forcing nature into quadcopter physics, they designed the control system around how birds actually fly. Credit: —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

36,291 görüntüleme • 8 ay önce

Open-source robot arm meets hand tracking [📍GitHub below] It is designed with an industrial mindset but built as a 3D-printed desktop system. PAROL6 paired with a LEAP Motion controller is a nice example of how accessible robot teleoperation has become. • Hand motion is streamed to the robot at 100 Hz via UDP • A pneumatic gripper is controlled by simple fist open and close gestures • The entire robot stack is open source, from mechanics to control software Combine that with low-latency hand tracking and you get a very practical platform for learning manipulation, teleoperation, and human-robot interfaces. This kind of setup is great for experimentation, teleop, data collection, and teaching robots by demonstration All without proprietary hardware or locked software. Credit to SourceRobotics 📍Code: —— Weekly robotics and AI insights. Subscribe free:

Open-source robot arm meets hand tracking [📍GitHub below] It is designed with an industrial mindset but built as a 3D-printed desktop system. PAROL6 paired with a LEAP Motion controller is a nice example of how accessible robot teleoperation has become. • Hand motion is streamed to the robot at 100 Hz via UDP • A pneumatic gripper is controlled by simple fist open and close gestures • The entire robot stack is open source, from mechanics to control software Combine that with low-latency hand tracking and you get a very practical platform for learning manipulation, teleoperation, and human-robot interfaces. This kind of setup is great for experimentation, teleop, data collection, and teaching robots by demonstration All without proprietary hardware or locked software. Credit to SourceRobotics 📍Code: —— Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

32,025 görüntüleme • 8 ay önce

Open-source robot arm meets hand tracking [📍GitHub below] It is designed with an industrial mindset but built as a 3D-printed desktop system. PAROL6 paired with a LEAP Motion controller is a nice example of how accessible robot teleoperation has become. • Hand motion is streamed to the robot at 100 Hz via UDP • A pneumatic gripper is controlled by simple fist open and close gestures • The entire robot stack is open source, from mechanics to control software Combine that with low-latency hand tracking and you get a very practical platform for learning manipulation, teleoperation, and human-robot interfaces. This kind of setup is great for experimentation, teleop, data collection, and teaching robots by demonstration All without proprietary hardware or locked software. Credit to SourceRobotics 📍Code: —— Weekly robotics and AI insights. Subscribe free:

Open-source robot arm meets hand tracking [📍GitHub below] It is designed with an industrial mindset but built as a 3D-printed desktop system. PAROL6 paired with a LEAP Motion controller is a nice example of how accessible robot teleoperation has become. • Hand motion is streamed to the robot at 100 Hz via UDP • A pneumatic gripper is controlled by simple fist open and close gestures • The entire robot stack is open source, from mechanics to control software Combine that with low-latency hand tracking and you get a very practical platform for learning manipulation, teleoperation, and human-robot interfaces. This kind of setup is great for experimentation, teleop, data collection, and teaching robots by demonstration All without proprietary hardware or locked software. Credit to SourceRobotics 📍Code: —— Weekly robotics and AI insights. Subscribe free:

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A simple CNC machine. Wood. A rotating tool. And yet the pattern shifts from circles to perfect hexagons with a level of accuracy most factories still struggle to hit. I worked five years in manufacturing at Siemens, and this is the part people often overlook. The real magic is not new or loud. It is stability. Repeatability. Tool paths that were tuned forever. Precision that just keeps working. Robotics is in a hype cycle right now, but manufacturing has delivered quiet perfection long before anyone talked about foundation models. Sometimes the most interesting engineering is the part that does not ask for attention. —- Weekly robotics and AI insights. Subscribe free:

A simple CNC machine. Wood. A rotating tool. And yet the pattern shifts from circles to perfect hexagons with a level of accuracy most factories still struggle to hit. I worked five years in manufacturing at Siemens, and this is the part people often overlook. The real magic is not new or loud. It is stability. Repeatability. Tool paths that were tuned forever. Precision that just keeps working. Robotics is in a hype cycle right now, but manufacturing has delivered quiet perfection long before anyone talked about foundation models. Sometimes the most interesting engineering is the part that does not ask for attention. —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

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Insertion Verification of Ethernet Cable. It was trained and set up in minutes: This object detector and classifier can be used for robotic tasks or in assembly verification. This classifier checks whether a connector was fully inserted or not. Small automation problems like this are everywhere in manufacturing. The challenge is often not the hardware, but getting systems deployed quickly enough to create value. Credit: Lentil Robotics ——- Weekly robotics and AI insights. Subscribe free:

Insertion Verification of Ethernet Cable. It was trained and set up in minutes: This object detector and classifier can be used for robotic tasks or in assembly verification. This classifier checks whether a connector was fully inserted or not. Small automation problems like this are everywhere in manufacturing. The challenge is often not the hardware, but getting systems deployed quickly enough to create value. Credit: Lentil Robotics ——- Weekly robotics and AI insights. Subscribe free:

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It’s like Central Park, but with ping-pong tables at every turn. 🌳🏓 We’re exploring the legacy of Ping-Pong Diplomacy and seeing why China remains the global powerhouse of the sport. It turns out a small ball really can move the world.

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Fiverr just launched a platform for freelancers to train a custom AI model, and "sell" the ability to generate work with it. They're pitching it as a way for creators to scale the number of projects they can handle at once. Models are trainable on text, image, and sound.

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Microsoft just released a full AI degree for free It's called AI For Beginners, and it's a complete 12-week, 24-lesson curriculum. Free, on GitHub, no signup It starts from zero and builds up. The history of AI, neural networks and deep learning, computer vision, natural language processing, transformers and large language models, even genetic algorithms and AI ethics. Every lesson comes with reading, runnable Jupyter notebooks in both PyTorch and TensorFlow, quizzes, and hands-on labs. So you're not just reading theory, you're writing real code. There's also a beginner track if you're totally new: "Hello AI World," a simple neural network from scratch, an image classifier, and a sentiment analyzer. Here's the link: Bookmark this

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Yarchi

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Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:

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Ilir Aliu

42,864 görüntüleme • 7 ay önce

We sent out three robots yesterday to Blr, Erode, and Rajkot, with an AOV of around 60k+ per order. We are competing with a massive Chinese factory—check out their scale in the video attached to this tweet. We have no funding or grants of any nature, are completely bootstrapped, and I have no formal engineering background—I studied commerce! Many do not understand how complex it is to build a machine with three BLDC motors, three servo motors, one stepper, and various sensors, all working seamlessly with custom firmware, a mobile app, and a backend server—all of which I personally wrote, with help from brilliant interns who assisted me with mechanical and electronics work. Add to that the moving parts and mechanical complexities of accurately sending the ball out, processing input from sensors, and ensuring precise control—all this while working from a 10x15 room at the top of my house. We might be one of the few Indian companies that can say we're truly competing with a Chinese giant, and we're doing it with cutting-edge technology. Let's see how it goes. #Robotics #Innovation #India

We sent out three robots yesterday to Blr, Erode, and Rajkot, with an AOV of around 60k+ per order. We are competing with a massive Chinese factory—check out their scale in the video attached to this tweet. We have no funding or grants of any nature, are completely bootstrapped, and I have no formal engineering background—I studied commerce! Many do not understand how complex it is to build a machine with three BLDC motors, three servo motors, one stepper, and various sensors, all working seamlessly with custom firmware, a mobile app, and a backend server—all of which I personally wrote, with help from brilliant interns who assisted me with mechanical and electronics work. Add to that the moving parts and mechanical complexities of accurately sending the ball out, processing input from sensors, and ensuring precise control—all this while working from a 10x15 room at the top of my house. We might be one of the few Indian companies that can say we're truly competing with a Chinese giant, and we're doing it with cutting-edge technology. Let's see how it goes. #Robotics #Innovation #India

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The goal of companies generating AI was never to make the world a better place, it was for engagement. And they’re willing to make you go insane to get it.

The goal of companies generating AI was never to make the world a better place, it was for engagement. And they’re willing to make you go insane to get it.

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Elon Musk explains how we can achieve abundance for all with AI and robotics “With AI and robotics, this is the path to abundance for all If you want to solve global poverty or give everyone a very high standard of living, the only way to do that is AI and robotics" if AI and robotics can handle the production of goods and services at near-zero cost, we could effectively eliminate poverty Elon Musk is going to lead humanity into an age of Amazing Abundance

Elon Musk explains how we can achieve abundance for all with AI and robotics “With AI and robotics, this is the path to abundance for all If you want to solve global poverty or give everyone a very high standard of living, the only way to do that is AI and robotics" if AI and robotics can handle the production of goods and services at near-zero cost, we could effectively eliminate poverty Elon Musk is going to lead humanity into an age of Amazing Abundance

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