Відео

You're doing a fantastic job! Just a quick off-topic question: My OKX wallet holds some USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). How can I transfer them to Binance?

Thanks for sharing.

Profesorialpresrntation humble n simple way very informative.thankslroff.

Very cool research! Thanks for sharing. It feels like there is some commonality between your identification algorithm and exponential smoothing methods, you had also mentioned decomposition to find matrix components of G, or something along those lines. Have you explored using ideas from other time series analysis tools like STL decomposition or ARIMA concepts to reduce some of the need for assumptions or to allow for analysis of more complex datasets? Though, maybe that has more to do with the data preprocessing than the actual prediction modeling. Thanks again!

Finally, valuable content is being recommended, probably using knowledge from this video, thank you.

Amazing talk!

Is there any code to learn

Wonderful lecture..Thank you so much.

wow high data! "nice job"

'Promo sm' 💥

Nice talk Dr. Rahul

really cool project

very nice talk, we are developing information-based autonomous exploration using learning methods, and we will keep following your work☺

Great Talk!

Good time of day. Can you make a robot using ready-made formulas like here? ua-cam.com/video/JZ3xyzfAf4o/v-deo.html

Perfect 👍👍

Promo>SM 😪

I learned that most of the flexibility in the bellows Origami design is in deformation of the facets, not from flexing of the folds. Is that true for all the other joints shown -- in the serial kinematic robots shown, is the flexibility still due to facet deformation and not fold bending?

Brilliant talk!

Guiseppe loianno, David scaramuzza research works i hardly understand but is always worth listening.......

Thanks for the nice presentation. I would like to address some wrong and/or unprecise statements that the speaker has made: 1. ISO26262 is NOT an old standard (2011, updated in 2018), and it does NOT ONLY deal with hardware issues. Hardware is only part of the standard. Software and system have a very large presence in it. 2. SOTIF neither replaces ISO26262 nor it tries to be more precise. It addresses a completely different spectrum of safety, which as the presented correctly said, deals with performance limitations of functionalities like perception. 3. SOTIF might not be specific enough, but a big cause of that is that it is still in the making. It is not a finished standard yet. That is why it is a Publicly Available Specification (ISO/PAS), and not a ISO/IEC standard yet. 4. There is an automotive cybersecurity standard: ISO21434.

This is awesome. You desperately need P-R-O-M-O-S-M!

thanks for sharing

i know am late to this talk, just wanted to say, this way awesome talk and we need more of this in future

Hi Enrico, congrats for the work done! I just got some questions. At some point you mention the prediction horizon is of 400 m, is this length-based fixed? or is it non-uniform as you say later? Another one is related to computational performance. Are you able to guarantee a 140 prediction steps optimal problem under 20 ms? What hardware did you use? Last one, I understood the whole practical experiment was carried out in a row. Do you consider tires and braking degradation? If so, do you adapt your dynamic model?

now imagine the applications on what else you could put inside the iron oxide. daunting thought that if it was injected into someone, and some magnetic external force can release chemicals in your body on command… i’m just happy this is being used to cure cancer rather than other nefarious intentions

i love this

Very good presentation!

Great talk! And a great publication in automatica. Inspiring.