Hopfield got Nobel for his works

01:06 - Context of system 11:07 - Basic Pick and Place overview 15:41 - Points in 3D 25:23 - Rotations in 3D 33:23 - Addition + additive inv of points 35:09 - Multiplication + multiplicative inv of Rotations 39:58 - Frames + (Spatial) Pose [Noun] / (Rigid) Transform [Verb] 45:01 - Transform/Pose applied directly to position 47:37 - Defining motion of gripper 01:00:56 - Timing of motion 01:03:03 - 2x2 rotation matrix example 01:09:09 - Joints

at 1:07:08, Lp for Dp, why we need to maximise the cost function over state x or s? I really appreciate if if you can answer this

22:00 Wish I could be in this class live!!

46:07 Is it me or does it look like prof is missing a finger. Thank you for these lectures btw. Stuff like this makes me cry with happiness that I am alive in this century where we have technology that I can get knowledge from such a wonderful genius while sitting in my home

Thanks to whoever decided to upload this.

Amazing lecture Prof. Russ! Thanks!

x^2+4x^4=2x^2(x^-1) yea right. Total waste of time

Thanks for sharing this with everybody. This course has been fascinating me so much.

Is there a pre-requisit course for this one? Because I have hard time understanding some terms and concepts?

Amazing lectures! At 38:54, in the definition of exponential stability, we might need to have an upperbound that depends on the displacement from the stable point at time 0, otherwise i don't see how it implies Lyapunov stability (?)

Confusing but great lecture, Thank you professor Tedrake. (Also very adorable nerd-out at 1:20:20)

Thank you for the amazing course. I love every minute of it

Is there no Lecture 13?

at 59:41 you say that Boston Dynamics wouldn't use SOS, but instead use empirical. Do you discuss building a funnel from empirical evidence anywhere?

This is so great!!! A huge thankyou to the lecturer, and to all the folks at MIT for putting this high-quality material out there in the world for free.

Thank you for the lecture Russ. How efficient will be a continuous time controller with a history of observations? Additionally , is there any specific reason you are considering a continuous time stability notion at 23:40 while the total system (controller + plant) is discrete?

this course is soo cool, git underactuated repo is excellent too. thanks for making the resource free.

Can you please submit the notebook for that to the repo. Very cool

This is gold indeed.

it has to only work once😂

this is awesome

Say we have multiple bodies interacting at certain times, do they need to be described in the same plant or the same scene graph? Thank you for the video!

Thank you for the lecture. Can you briefly recap questions from the audience to the microphone?

49:35 Can someone teach me why a fully-actuated system can be equivalent to a double integrator (q''=u) ? This means the input u (torque) can directly equal to the second differential of output q (position)? Thanks!

Thank you for putting up these videos publicly. I work professionally as a roboticist but am a little weak on the controls side of things, getting to watch these and learn from one of the best is a privilege of our time.

The latest AI technology explained on a blackboard with chalk 😃🥰

At minute 48, I can't find sampling.ipynb andywhere. Would you be able to point me to it?

51:44

3:47 3:48

4:01

Thumbs down. The material and examples should be done ahead of time using something like Jupyter lab. There is no simple example that really works.

A big thumbs down. This lecture should be written in something like Jupyter lab ahead of time. There should be no time wasted writing on a black board. There should be some simple examples already written so they can be executed. Finally, the work sheet should be provided to the students so they don’t need to take a bunch of useless notes. There is another KZbin channel ‘APmonitor’ that is much better. I know this topic well. I have examples I could use too demonstrate what I am talking about.

Thanks a lot. It's a very good course but there is room for improvement for the camera.

audio kicks in at 5:15.

what’s course mentioned in 1st lecture about “state estimation and perception”

what a great professor

Just noticed you're updating this content again! An exciting time to be sure given the recent explosion in LLMs. Last watch through for me was circa 2017 and I think the impression I came away with at the time was that our planning and control algorithms rocked, but I was left wondering how we might automate goal setting. Now I see that problem as largely solved, or at least LLMs could have a role to play here if we want them to. Whether or not this is where you think the future is headed I can't wait to watch through these lectures and hopefully hear some of your commentary on whatever you see as the frontiers. Lastly, I'm one among the many nameless +1's to your view counter that you may never know is extremely grateful. But in case you're reading this, this course specifically has had a positive impact on my perspective, education, career, and even social circles (I ran across one of your past students at a VC event here in the 'burgh). Thanks so much for sharing this knowledge!

Amazing content. Thank you very much for sharing it. I'm just starting to watch this course. Does anyone know if they will talk about kinematics here, representing pose of the rigid bodies in different coordinate frames using linear algebra and stuff like that?

Sir, the lecture was amazing but I really think you should buy a new camera.

You are wonderful for posting these.

Sir how can I access the python codes you used in the lecture can you provide the link. can't find it

Thank you very much! Greetings from Germany.

Thank you for posting this series. I have been enjoying learning about robotic manipulation. I did want to note, in case you actually check the comments after the semester is completed, that Lecture 1 is in between Lectures 3 and 4 in the playlist.

Where is lecture 2? Can you upload?

Are lectures 1-3 going to be posted?

Jason Statham teaching robotics was not on my 2024 bingo card

that was pretty mind blowing

Please update the Google collab link. When I click on it, it says that the link is no longer available.