The best robotics fundamentals courses I know are free on YouTube! 📺
@brianbdouglas Classical Control Theory is one of many of them I publish here on regular basis.
46 videos, no paywall, pure edu content for future robotics & automation guys!
It covers the layer sitting underneath a huge part of automation & robotics:
→ Closed-loop control, transfer functions, PID
→ Time and frequency domains, Fourier and Laplace transforms
→ Stability, root locus, Bode plots
→ System identification and modelling physical systems
→ Practical robotic-car examples that tie it together
If someone comes in and says 'that's outdated, we have robotics 2.0 era now!'
Why bother with this while everyone is talking about foundation models and physical AI?
Because every one of those models eventually sends a number to a motor.
Something still has to hold the joint where it was told to go, reject a disturbance, and stay stable while the load changes.
That's control, and it doesn't disappear because there's a neural network upstream of it.
Control theory is what makes a demo repeatable.
If you want to understand robotics past the demo videos, this is where I'd start :)
🔗 Full course (for free) is here:
~~
♻️ Join the weekly robotics newsletter, and never miss any news →