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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...

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Lukas Ziegler

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112,393 görüntüleme • 9 ay önce •via X (Twitter)

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Engineering Randomness profil fotoğrafı
Engineering Randomness9 ay önce

You stopped too soon. You need a 4th order TG.

Adam profil fotoğrafı
Adam9 ay önce

That’s exactly how I press on my brakes in my car so I don’t have the backward head jolts. I move forward in my seat when I brake, but do not shoot backward when fully stopped. Cool to see the ‘math’ of how I drive.

Dog of War profil fotoğrafı
Dog of War9 ay önce

Show me an S-profile with minimised jerk

Andreas Köpf profil fotoğrafı
Andreas Köpf9 ay önce

In Germany the🍺 demo is allowed only with jerk limited s-curve velocity profile:

far profil fotoğrafı
far9 ay önce

bet there is some connection to window functions like the hanning window here

TensorFleet profil fotoğrafı
TensorFleet9 ay önce

Great demo! Rectangular (aggressive) for sprint bots. Trapezoidal for liquids, cameras, and fragile end effectors.

NiceDreamz profil fotoğrafı
NiceDreamz9 ay önce

been tyrin to smooth out my commands ,, thanks this gives me something to work on

Gal Zajc (100% e-acc) profil fotoğrafı
Gal Zajc (100% e-acc)9 ay önce

nice! interesting question would be what's the acceleration a(t) such that the drink doesn't spill and it goes from one side to the other in a smallest amount of time

Mikhail Grigorov profil fotoğrafı
Mikhail Grigorov9 ay önce

Was it really necessary to use beer? It goes bad, you know!

SKAKKK profil fotoğrafı
SKAKKK9 ay önce

Nice explanation! Feels like Trapezoidal is some sort of Low pass filter equivalent in Electronic circuits.

Altiam Kabir profil fotoğrafı
Altiam Kabir9 ay önce

Great breakdown of motion profiles! Smoothness vs. speed is key. Any favorite applications for each?

vulpes grumpes profil fotoğrafı
vulpes grumpes9 ay önce

Oh huzzah. You showed impulse vs smoothed impulse response, and the effects of inertial dampening with fluid dynamics. *slow claps*

TheRearAdmiral profil fotoğrafı
TheRearAdmiral9 ay önce

jerk on, jerk off

Paradroid B.Pie profil fotoğrafı
Paradroid B.Pie9 ay önce

Excellent! RE: Trapezoidal Have you considered different approaches to the smoothing algo? Use regular low pass (can include overshoot), critically damped (ensures best time to target with no overshoot). For extra points, you can go "spring and damper" for these too.

Fairooz Choudhury profil fotoğrafı
Fairooz Choudhury9 ay önce

Fascinating breakdown of motion profiles! Great insights.

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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 →

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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 →

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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

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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 görüntüleme • 7 ay önce

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
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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

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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 →
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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 görüntüleme • 8 ay önce

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 →
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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 görüntüleme • 8 ay önce