A roadmap for learning robotics! 🔥
📌 If you’re self-learning robotics, this is genuinely one of the better repos to save for later!
This GitHub repo is basically a curated learning map for anyone trying to get into robotics without drowning in random bookmarks.
SOOOOO many free courses on almost every topic related to robotics, 5k ⭐️ on GitHub says it all...
If I had had this list during my studies, my career might have turned out differently.
But I didn't, so I the only thing I can do is to recommend it and give it to you now...
It’s a structured collection of links to:
→ robotics courses (online + university)
→ ROS / embedded / hardware basics
→ math & algorithms that actually matter for robots
A clean, opinionated list that helps you go from “where do I start?” question as I had after graduating :D
And it’s open-source, so you can contribute resources too.
🔗 Try it out here: https://t.co/qUME6mJCzZ
Do you have an awesome resource to learn AV and robotics? Share it with me, and I'm happy to put it on the spotlight.
~~
♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwoPB
One of the biggest challenges in US manufacturing: getting union shops to embrace collaborative robots, even when the whole point is making workers' lives easier.
We're not replacing people. We're removing the dangerous, repetitive tasks nobody wants to do. The resistance is real.
MIT Press published a robotics textbook.
Then put it on GitHub for FREE. 📌
"Introduction to Autonomous Robots" covers everything:
kinematics, sensors, actuators, motion planning, localization, computer vision, and neural networks... from mechanisms all the way to algorithms.
It's written for undergraduates. Which means it's actually readable.
Most robotics textbooks assume you're already deep in the field. This one builds everything from the ground up, step by step, with real examples. Stanford's Mac Schwager called it "much-needed" (because it genuinely is).
Four professors at the University of Colorado Boulder spent years building it from lecture notes. MIT Press published it. Then they open-sourced the whole thing under Creative Commons.
PDF. Free. GitHub.
If you're trying to understand how autonomous robots actually work (not just the frontier research, but the foundations), this is where to start.
📌 [https://t.co/bw8zoK8MmB]
Share this with your fellow roboticist!
——
Weekly robotics and AI insights.
Subscribe free: https://t.co/9Nm01QUcw3
Carnegie Mellon’s Robotics Institute runs a course on robot learning...
(For FREE 📌)
16-831 covers the full modern stack… the stuff actually being deployed right now:
Imitation learning. Behavior cloning. Reinforcement learning. Learning from human videos. Sim-to-real transfer. Vision-Language-Action models.
Not theory for its own sake.
Every topic is anchored to a real robotics problem: how do you get a robot to generalize to environments it’s never seen before?
All lecture slides are public.
This is THE Robotics Institute. The place that produced the researchers now leading the frontier labs.
Free. No login.
📌 [https://t.co/3hMerLAU3Z]
Follow for more robotics resources like this!
——
Weekly robotics and AI insights.
Subscribe free: https://t.co/9Nm01QUcw3
Thanks to the organizers for a great event.
I’ll be here in Denver until Thursday night, hit me up on Xchat if you’d like to get in touch.
Many members of the @Tesla_AI team will be available throughout the conference and can be found at the Tesla booth.
Debris from our recent hotfire anomaly may wash ashore in the coming days/weeks. If you encounter any debris, do not touch or approach it for your safety.
Please report the location immediately:
Call: 1-321-222-4355
Email: [email protected]
Flavio Briatore a partagé son point de vue sur la nouvelle Ferrari 100% électrique, baptisée « Luce » :
"Tout le monde me pose des questions sur la nouvelle Ferrari. J'ai vu la Ferrari Luce et elle a un gros avantage : celle-là, les Chinois ne la copieront pas."
😭😭😭😭😭