Загрузка видео...

Не удалось загрузить видео

На главную

Learn the differences between motion profiles! 💨 A real demonstration of engineering skills. In each robotic arm, in each legged robot, you will discover actuators that make the robot move! Let's compare two motion profiles: rectangular and trapezoid. - A rectangular motion profile is like a car with abrupt...

lukas_m_ziegler's profile picture

Lukas Ziegler

56,980 subscribers

112,284 просмотров • 7 месяцев назад •via X (Twitter)

ОбразованиеЗдоровье и велнесНаука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Turning video into humanoid robot motion! 🤳🏼 Training humanoid robots needs huge amounts of motion data, but real-world capture doesn’t scale. Mocap is expensive, dangerous edge cases are rare, and you can’t ask humans to repeatedly fall or crash. Video2Robot tackles this by converting videos into physics-grounded humanoid simulations. Motion is generated to respect balance, inertia, ground contact, and joint limits, then directly retargeted to robot simulators. One prompt can generate a full humanoid motion sequence, including multi-agent interactions and failure cases like falls or collisions, scenarios that are hard or impossible to capture safely in the real world. The pipeline is model-agnostic and works with existing video generators, making it a practical way to scale data for robots. If robots are going to operate in the real world, they need to be trained on the failures too, not just the perfect demos. Here's the GitHub: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:26

Turning video into humanoid robot motion! 🤳🏼 Training humanoid robots needs huge amounts of motion data, but real-world capture doesn’t scale. Mocap is expensive, dangerous edge cases are rare, and you can’t ask humans to repeatedly fall or crash. Video2Robot tackles this by converting videos into physics-grounded humanoid simulations. Motion is generated to respect balance, inertia, ground contact, and joint limits, then directly retargeted to robot simulators. One prompt can generate a full humanoid motion sequence, including multi-agent interactions and failure cases like falls or collisions, scenarios that are hard or impossible to capture safely in the real world. The pipeline is model-agnostic and works with existing video generators, making it a practical way to scale data for robots. If robots are going to operate in the real world, they need to be trained on the failures too, not just the perfect demos. Here's the GitHub: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

59,708 просмотров • 7 месяцев назад

A toilet-cleaning robot from Reflex Robotics. The best part is when the robot dries its hands... That might be the future of robots doing chores for us. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:00

A toilet-cleaning robot from Reflex Robotics. The best part is when the robot dries its hands... That might be the future of robots doing chores for us. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

15,766 просмотров • 4 месяцев назад

Gravity-defying robot! 🦎 VertiGo is a wall-climbing robot created by Disney Research and ETH Zürich that can transition between ground and wall. The robot can move on a wall quickly and with agility. VertiGo has four wheels, two tiltable propellers, and two tiltable propellers. One pair of wheels is steerable, and each propeller has two degrees of freedom for adjusting the direction of thrust. The choice of two propellers rather than one enables a floor-to-wall transition, thrust is applied both towards the wall using the rear propeller and in an upward direction using the front propeller, resulting in a flip onto the wall. P.S. Can you guess the year of development? 👀 ~~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:33

Gravity-defying robot! 🦎 VertiGo is a wall-climbing robot created by Disney Research and ETH Zürich that can transition between ground and wall. The robot can move on a wall quickly and with agility. VertiGo has four wheels, two tiltable propellers, and two tiltable propellers. One pair of wheels is steerable, and each propeller has two degrees of freedom for adjusting the direction of thrust. The choice of two propellers rather than one enables a floor-to-wall transition, thrust is applied both towards the wall using the rear propeller and in an upward direction using the front propeller, resulting in a flip onto the wall. P.S. Can you guess the year of development? 👀 ~~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

189,849 просмотров • 4 месяцев назад

A pentagon robot! 🖐🏽 Compared to typical SCARA models, it delivers higher speed, improved stability, better space efficiency, and can operate smoothly in tight areas, even through singularity positions. These robots are a good fit for handling complex tasks in challenging environments where conventional robots often fall short. Have you ever seen a robot like this? 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:24

A pentagon robot! 🖐🏽 Compared to typical SCARA models, it delivers higher speed, improved stability, better space efficiency, and can operate smoothly in tight areas, even through singularity positions. These robots are a good fit for handling complex tasks in challenging environments where conventional robots often fall short. Have you ever seen a robot like this? 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

42,565 просмотров • 4 месяцев назад

We asked Angus about the future of robotics and AI training. “I built an industrial-grade kinematic solver for 6 degrees of freedom motion, with full path planning and joint control." "You can stream AI model outputs into it, or run it like a traditional industrial robot." "The benefit of that is all of that information you can stream and record from those joints… you can use that as the training data." "Frankly, moving a robot with a lever is really crap data for training robots. But this gives you smooth, high-quality motion, without needing two robots.”
2:16

We asked Angus about the future of robotics and AI training. “I built an industrial-grade kinematic solver for 6 degrees of freedom motion, with full path planning and joint control." "You can stream AI model outputs into it, or run it like a traditional industrial robot." "The benefit of that is all of that information you can stream and record from those joints… you can use that as the training data." "Frankly, moving a robot with a lever is really crap data for training robots. But this gives you smooth, high-quality motion, without needing two robots.”

TBPN

18,811 просмотров • 1 год назад

The robot is used to inspect the walls of ships. 🚢 The Magnet Crawler introduced by the University of Bremen is a lightweight and compact climbing robot for magnetic surfaces. The robot has two magnetic wheels driven by geared motors and an elastic tail to improve stability. In the front part of the robot, there is a miniature wireless camera. The robot is remotely teleoperated & the video signal from the camera is displayed to the operator on a portable screen. Let's wait and perhaps the robot will become more autonomous over time. Big fan of robots that make the world a safer place for humans. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:51

The robot is used to inspect the walls of ships. 🚢 The Magnet Crawler introduced by the University of Bremen is a lightweight and compact climbing robot for magnetic surfaces. The robot has two magnetic wheels driven by geared motors and an elastic tail to improve stability. In the front part of the robot, there is a miniature wireless camera. The robot is remotely teleoperated & the video signal from the camera is displayed to the operator on a portable screen. Let's wait and perhaps the robot will become more autonomous over time. Big fan of robots that make the world a safer place for humans. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

21,587 просмотров • 1 месяц назад

Six months later, Vietnamese robotics company VinMotion has launched Motion 2, a general-purpose humanoid robot. Compared to Motion 1, Motion 2 features a more natural gait, faster walking speed, and greater agility, and can carry a load of 40kg. It can also recover from falls independently, and features autonomous charging and battery swapping. Currently, this humanoid robot is being tested in industrial logistics scenarios, with the goal of integrating it into business systems to achieve intelligent automation of tasks in factories and warehouses. It also integrates multi-language interaction capabilities (Vietnamese, English, etc.), laying the foundation for future service-oriented applications. BTW, VinMotion will showcase its progress at CES 2026.
0:58

Six months later, Vietnamese robotics company VinMotion has launched Motion 2, a general-purpose humanoid robot. Compared to Motion 1, Motion 2 features a more natural gait, faster walking speed, and greater agility, and can carry a load of 40kg. It can also recover from falls independently, and features autonomous charging and battery swapping. Currently, this humanoid robot is being tested in industrial logistics scenarios, with the goal of integrating it into business systems to achieve intelligent automation of tasks in factories and warehouses. It also integrates multi-language interaction capabilities (Vietnamese, English, etc.), laying the foundation for future service-oriented applications. BTW, VinMotion will showcase its progress at CES 2026.

CyberRobo

60,689 просмотров • 7 месяцев назад

A robot that will bend metal for you! 🤘🏼 This is what optimized robotic press brake operation looks like. A well-tuned program, an additional seventh axis for extended reach, smart gripper design, and a workpiece reversal mechanism to handle parts without human intervention. This combination is invaluable for automated press brake operation. Cycle time is on fire! 🔥 KUKA robots are a solid choice for metal forming. They're built for high-payload, high-precision tasks and have a strong track record in automotive and heavy industry applications where reliability matters the most! :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:22

A robot that will bend metal for you! 🤘🏼 This is what optimized robotic press brake operation looks like. A well-tuned program, an additional seventh axis for extended reach, smart gripper design, and a workpiece reversal mechanism to handle parts without human intervention. This combination is invaluable for automated press brake operation. Cycle time is on fire! 🔥 KUKA robots are a solid choice for metal forming. They're built for high-payload, high-precision tasks and have a strong track record in automotive and heavy industry applications where reliability matters the most! :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

38,749 просмотров • 6 месяцев назад

This robot explores the world like a mouse! 🐁 That's an OG project, guess the year ;) A mouse-inspired bot called WhiskEye travels the world with 24 artificial whiskers and spiking neurons that mimic a nervous system. Recognizing familiar places is essential for engineering applications like robot navigation, where interactions with the real world are key. Combining information from multiple senses helps to make better accuracy and robustness, but challenges like mismatched data and sensor errors complicate this process. Inspired by how animals navigate seamlessly, researchers developed predictive coding, a self-supervised learning method based on the brain's visual cortex model. It combines visual and tactile cues from a robot, outperforming existing methods in recognizing places, even when some sensors fail. What a great project from BristolRoboticsLab and Sheffield Robotics! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:34

This robot explores the world like a mouse! 🐁 That's an OG project, guess the year ;) A mouse-inspired bot called WhiskEye travels the world with 24 artificial whiskers and spiking neurons that mimic a nervous system. Recognizing familiar places is essential for engineering applications like robot navigation, where interactions with the real world are key. Combining information from multiple senses helps to make better accuracy and robustness, but challenges like mismatched data and sensor errors complicate this process. Inspired by how animals navigate seamlessly, researchers developed predictive coding, a self-supervised learning method based on the brain's visual cortex model. It combines visual and tactile cues from a robot, outperforming existing methods in recognizing places, even when some sensors fail. What a great project from BristolRoboticsLab and Sheffield Robotics! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

36,775 просмотров • 6 месяцев назад

Safety in mobile robotics! 👷🏼‍♂️ Robots navigating through crowds is one of the hardest problems in mobile robotics, uncertainty, human motion, and real-time constraints don’t mix well. A team at TU Delft has introduced DRA-MPPI, a new motion-planning method that lets robots move safely through dense pedestrian traffic without freezing or taking overly conservative paths. Instead of assuming people move predictably, the system handles non-Gaussian, uncertain human motion, even cases where someone might suddenly turn or change direction. It uses a fast Monte Carlo approximation to estimate collision probability across hundreds of sampled trajectories in real time. If a trajectory’s risk crosses a threshold, it gets rejected. If not, risk becomes part of the cost function. In testing a Clearpath Jackal navigated real crowds while keeping collision risk under a defined limit, outperforming approaches like Scenario-based MPC and standard MPPI. It’s another step toward robots that behave safely and naturally around people, even when humans don’t behave predictably! 🔥 Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:03

Safety in mobile robotics! 👷🏼‍♂️ Robots navigating through crowds is one of the hardest problems in mobile robotics, uncertainty, human motion, and real-time constraints don’t mix well. A team at TU Delft has introduced DRA-MPPI, a new motion-planning method that lets robots move safely through dense pedestrian traffic without freezing or taking overly conservative paths. Instead of assuming people move predictably, the system handles non-Gaussian, uncertain human motion, even cases where someone might suddenly turn or change direction. It uses a fast Monte Carlo approximation to estimate collision probability across hundreds of sampled trajectories in real time. If a trajectory’s risk crosses a threshold, it gets rejected. If not, risk becomes part of the cost function. In testing a Clearpath Jackal navigated real crowds while keeping collision risk under a defined limit, outperforming approaches like Scenario-based MPC and standard MPPI. It’s another step toward robots that behave safely and naturally around people, even when humans don’t behave predictably! 🔥 Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

86,933 просмотров • 7 месяцев назад

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:
0:29

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:

Ilir Aliu

42,864 просмотров • 6 месяцев назад

DOBOT robotics' humanoid robot is making a big leap in industrial applications, achieving cross-scenario, multi-task generalization. This is thanks to two major breakthroughs: efficient human-to-robot motion mapping and knowledge-driven generative VLA tech. ► The robot handles complex tasks like precision assembly and can work reliably in temperatures over 50°C (122°F). ► It excels at multi-robot collaborative tasks and can adaptively grasp soft or irregularly shaped objects. With a repeatability of ±0.05mm, this model demonstrates strong adaptability and reliability in dynamic industrial settings. It's now being applied in warehouse anomaly handling and quality inspection.
2:09

DOBOT robotics' humanoid robot is making a big leap in industrial applications, achieving cross-scenario, multi-task generalization. This is thanks to two major breakthroughs: efficient human-to-robot motion mapping and knowledge-driven generative VLA tech. ► The robot handles complex tasks like precision assembly and can work reliably in temperatures over 50°C (122°F). ► It excels at multi-robot collaborative tasks and can adaptively grasp soft or irregularly shaped objects. With a repeatability of ±0.05mm, this model demonstrates strong adaptability and reliability in dynamic industrial settings. It's now being applied in warehouse anomaly handling and quality inspection.

RoboHub🤖

91,953 просмотров • 10 месяцев назад

A versatile robot helping out airports! 🛩️ Meet a two-wheeled robot from Fraunhofer IML! 🦿 This balancing robot with gripping arms successfully completed its initial practical tests at the cargo terminal of Munich Airport a while ago. It transported goods, supported loading and unloading, and assisted with physically demanding logistics tasks. This robot can carry loads of up to 100 kg and reach speeds of around 60 km/h. That’s far beyond what most AMRs can handle, yet it still has arms and a form of mobility that lets it work in spaces designed for people. P.S. What other applications would you use this robot for?! 🦾 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:49

A versatile robot helping out airports! 🛩️ Meet a two-wheeled robot from Fraunhofer IML! 🦿 This balancing robot with gripping arms successfully completed its initial practical tests at the cargo terminal of Munich Airport a while ago. It transported goods, supported loading and unloading, and assisted with physically demanding logistics tasks. This robot can carry loads of up to 100 kg and reach speeds of around 60 km/h. That’s far beyond what most AMRs can handle, yet it still has arms and a form of mobility that lets it work in spaces designed for people. P.S. What other applications would you use this robot for?! 🦾 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

29,773 просмотров • 7 месяцев назад

Is Santiago Bernabéu one of the biggest robots?🤯 Its retractable pitch is basically a massive AS/RS system hidden under the field. The engineering numbers are wild: → Six segments, each ~1,500 tons → Perfectly synchronized drives → Millimeter-accurate positioning inside the underground hypogeum How cool is that! Did you see a bigger robot!? ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:24

Is Santiago Bernabéu one of the biggest robots?🤯 Its retractable pitch is basically a massive AS/RS system hidden under the field. The engineering numbers are wild: → Six segments, each ~1,500 tons → Perfectly synchronized drives → Millimeter-accurate positioning inside the underground hypogeum How cool is that! Did you see a bigger robot!? ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

73,827 просмотров • 7 месяцев назад

Robots might learn better from video than from language! 📼 Most Vision-Language-Action (VLA) models learn what to do from text, but still struggle with how things move in the real world. That makes them data-hungry and slow to train. mimic video takes a different route. Instead of grounding robot control in text, it grounds it in video, using large pre-trained video models that already capture physical motion and dynamics. The idea is straightforward: let the video model handle “what will happen next,” and let a smaller control model focus only on turning that visual plan into robot actions. The result is big gains in practice. Robots trained this way need 10× less data, converge twice as fast, and perform better on both simulated benchmarks and real bimanual manipulation tasks. If robots can “imagine” motion using video, control becomes a much simpler problem. Shoutout to Jonas Pai, Liam Achenbach, Oier Mees, Elvis Nava and the rest of the team! Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:47

Robots might learn better from video than from language! 📼 Most Vision-Language-Action (VLA) models learn what to do from text, but still struggle with how things move in the real world. That makes them data-hungry and slow to train. mimic video takes a different route. Instead of grounding robot control in text, it grounds it in video, using large pre-trained video models that already capture physical motion and dynamics. The idea is straightforward: let the video model handle “what will happen next,” and let a smaller control model focus only on turning that visual plan into robot actions. The result is big gains in practice. Robots trained this way need 10× less data, converge twice as fast, and perform better on both simulated benchmarks and real bimanual manipulation tasks. If robots can “imagine” motion using video, control becomes a much simpler problem. Shoutout to Jonas Pai, Liam Achenbach, Oier Mees, Elvis Nava and the rest of the team! Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

50,063 просмотров • 7 месяцев назад

Robotics is entering the mainstream! 👀 Let's accept this fact. Consumptionism – stonks. Possibilities (HW + SW) – stonks. Demographics - not stonks. Modern robots are often designed to interact with our legacy world, whether it's a household, a factory, or a shipyard. That means they often need to work with existing machines, tools, and spaces. In short: retrofitting. Improving old machines with new technologies without major interference in their operation. Modern way of integrating things. You don't have to change the entire environment to deploy a robot. The robot will adapt, just as human would when freshly hired. The promise is to have an army of robots to help with the world designed for us. I also believe that general purpose robots, are not a direct competition for single purpose machines (like a highly efficient specialized packaging machine, for example). It's like adding a robot to this carriage. Specialized machine could be a car ;) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:59

Robotics is entering the mainstream! 👀 Let's accept this fact. Consumptionism – stonks. Possibilities (HW + SW) – stonks. Demographics - not stonks. Modern robots are often designed to interact with our legacy world, whether it's a household, a factory, or a shipyard. That means they often need to work with existing machines, tools, and spaces. In short: retrofitting. Improving old machines with new technologies without major interference in their operation. Modern way of integrating things. You don't have to change the entire environment to deploy a robot. The robot will adapt, just as human would when freshly hired. The promise is to have an army of robots to help with the world designed for us. I also believe that general purpose robots, are not a direct competition for single purpose machines (like a highly efficient specialized packaging machine, for example). It's like adding a robot to this carriage. Specialized machine could be a car ;) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

14,396 просмотров • 5 месяцев назад

Robots aren’t just the future — they’re already reshaping our world. At IIT Madras, the new in Robotics, offered under the Department of Engineering Design, is building the brains behind tomorrow’s intelligent machines. From motion planning and control to AI/ML and hands-on labs, this two-year program blends cutting-edge research with real-world industry relevance — powered by a strong robotics faculty team and a legacy of interdisciplinary innovation. Rooted in the success of the Inter-Disciplinary Dual Degree (IDDD) Robotics program, this two-year program brings together expert faculty members and a powerful blend of theory and hands-on learning. From robot design and analysis to motion planning, control systems, and AI/ML, students dive deep into the science and engineering behind next-generation robotic systems. Add immersive lab work and cutting-edge projects, and you have a curriculum that’s as practical as it is pioneering. Manufacturing, healthcare, logistics, and defence — robotics is reshaping them all. This program is about building the minds that will lead to that transformation. If the future runs on robots, it starts here. For more details visit: IIT Madras
2:52

Robots aren’t just the future — they’re already reshaping our world. At IIT Madras, the new in Robotics, offered under the Department of Engineering Design, is building the brains behind tomorrow’s intelligent machines. From motion planning and control to AI/ML and hands-on labs, this two-year program blends cutting-edge research with real-world industry relevance — powered by a strong robotics faculty team and a legacy of interdisciplinary innovation. Rooted in the success of the Inter-Disciplinary Dual Degree (IDDD) Robotics program, this two-year program brings together expert faculty members and a powerful blend of theory and hands-on learning. From robot design and analysis to motion planning, control systems, and AI/ML, students dive deep into the science and engineering behind next-generation robotic systems. Add immersive lab work and cutting-edge projects, and you have a curriculum that’s as practical as it is pioneering. Manufacturing, healthcare, logistics, and defence — robotics is reshaping them all. This program is about building the minds that will lead to that transformation. If the future runs on robots, it starts here. For more details visit: IIT Madras

IIT Madras

22,446 просмотров • 4 месяцев назад

Rope climbing robots! 🪢 One objective, multiple approaches to achieve it. Back in 2017 undergraduates from Mechanical Science and Engineering at the University of Illinois utilized many mechanical strategies and tools to create a full menagerie of rope-climbing robots. Amazing creativity and uniqueness of each solution. Which robot is your favorite? Personally, I would say the one at the end dressed as a monkey! 🦍 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:15

Rope climbing robots! 🪢 One objective, multiple approaches to achieve it. Back in 2017 undergraduates from Mechanical Science and Engineering at the University of Illinois utilized many mechanical strategies and tools to create a full menagerie of rope-climbing robots. Amazing creativity and uniqueness of each solution. Which robot is your favorite? Personally, I would say the one at the end dressed as a monkey! 🦍 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

13,056 просмотров • 6 месяцев назад

This is what open robotics actually looks like! 🔓 I was in Bordeaux, sitting inside Pollen Robotics, and had a chance to play around with their humanoid robot Reachy 2. It’s expressive, modular, and can even bring you coffee, and of course runs Python or Rust. I was talking with Reachy in 3 different languages, tele-operating it and manipulating kitchen stuff, and make it even mimic my gestures. The best part is that there are no locked APIs, or hidden stuff, just an open platform that you can build upon. The connection with Hugging Face makes it super easy to start, as the open source approach allows everyone to contribute, experiment and add their own things. I already ordered his little brother Reachy Mini, let's see what a robotics rookie can do with that robot! 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:36

This is what open robotics actually looks like! 🔓 I was in Bordeaux, sitting inside Pollen Robotics, and had a chance to play around with their humanoid robot Reachy 2. It’s expressive, modular, and can even bring you coffee, and of course runs Python or Rust. I was talking with Reachy in 3 different languages, tele-operating it and manipulating kitchen stuff, and make it even mimic my gestures. The best part is that there are no locked APIs, or hidden stuff, just an open platform that you can build upon. The connection with Hugging Face makes it super easy to start, as the open source approach allows everyone to contribute, experiment and add their own things. I already ordered his little brother Reachy Mini, let's see what a robotics rookie can do with that robot! 👀 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

19,433 просмотров • 6 месяцев назад

Excited to announce Tau Robotics (Tau Robotics). We are building a general AI for robots. We start by building millions of robot arms that learn in the real world. In the video, two robot arms are fully autonomous and controlled by a single neural network conditioned on different language instructions (four axes and five axes robot arms). The other two arms are teleoperated. The entire hardware cost in the video is about $1400. The video is at 1.5x speed.
0:39

Excited to announce Tau Robotics (Tau Robotics). We are building a general AI for robots. We start by building millions of robot arms that learn in the real world. In the video, two robot arms are fully autonomous and controlled by a single neural network conditioned on different language instructions (four axes and five axes robot arms). The other two arms are teleoperated. The entire hardware cost in the video is about $1400. The video is at 1.5x speed.

Alexander Koch

439,393 просмотров • 2 лет назад