>>30909 meant to be 10*ans not 18*ans my bad, good mistake to see how the method works though since you still center in one of the roots even though the derivative is wrong it just takes more iterations lots of things you can do to make it better of course just wanted to keep it simple

>>30910 Ahh, thanks. It's rather nice that the eminent Newton devised such a computationally-simple approach to this need. I'm sure with modern superscalar architectures, the solution would converge in very few clocks. Cheers. :^)

>>10257 > (Mark Tilden -related:) https://www.wired.com/1994/09/tilden/ https://robohub.org/mark-tilden-on-what-are-the-five-must-read-publications-for-budding-roboticists/ https://robohub.org/mark-tilden-on-what-funding-scheme-is-the-most-conducive-to-creating-a-robotics-industry/ https://threelawsunsafe.wordpress.com/tag/three-laws/ https://en-academic.com/dic.nsf/enwiki/3495941 https://en.wikipedia.org/wiki/Mark_Tilden

By far the best explanation of Quaternions I've ever seen. Based Anon-produced. https://www.youtube.com/watch?v=bKd2lPjl92c

>>32792 It is a shame he doesn't have a social media presence... from what I can tell the last anyone has heard of him is a 2016 documentary (I'll be glad to be proven wrong, though). Maybe too many trolls emailed him saying "robosapien suxxx lmao" or something.

>>33266 You're right, Mechnomancer. Mark Tilden really is a kind of genius IMHO. I sure hope he'd approve of our push to create life-sized robowaifus that go so far beyond his own, foundational, works. I think he would! :^)

Complex systems are best built using an incremental approach, assembled together from small, reliable parts. This author has made important theoretical contributions for this approach to systems construction. >John Gall - Systemantics: How Systems Work and Especially How They Fail https://libgen.rs/book/index.php?md5=27116A9E0EBB855AE580D3D7DB3238DE >John Gall - The systems bible: the beginner's guide to systems large and small: being the third edition of Systemantics https://libgen.rs/book/index.php?md5=69111DA8D35908A7B774863430AFB6C1

>>33550 >“A complex system that works is invariably found to have evolved from a simple system that worked. A complex system designed from scratch never works and cannot be patched up to make it work. You have to start over with a working simple system.” >related: https://en.wikipedia.org/wiki/John_Gall_(author)#Gall's_law https://blog.prototypr.io/galls-law-93c8ef8b651e https://nordicapis.com/what-is-galls-law-and-how-could-it-direct-api-design/ http://principles-wiki.net/principles:gall_s_law

Linguistics-focused wiki -- a topic of clear importance to us here on /robowaifu/ . http://glottopedia.org/index.php/Main_Page

Hundreds of different technical videos related to robotics engineering topics. >Medical robotics research laboratory at Carleton University - Laboratoire de recherche en robotique médicale chez Univeristé Carleton https://www.youtube.com/@biomechlab/playlists

I made a learning website before; this may help with learning programming for beginners. The programming lessons are in the "IT Computer Certification" section https://greertechuniversity.neocities.org/prolearn

This well-accomplished Frenchman seems oddly opposed to the GH's typical agendas regarding AI -- though he himself being deeply entrenched in the GH Big-Tech world. IMO, he may be the main reason that Zuckerberg released leaked LLaMA. Lots of interesting topics (+ criticisms of common LLM approaches being used today). Worth a look. http://yann.lecun.com/ <---> https://www.businessinsider.com/meta-ai-yann-lecun-deepseek-open-source-openai-2025-1 https://www.businessinsider.com/mark-zuckerberg-open-source-ai-platforms-future-competition-apple-llama-2024-9 >=== -add'l hotlinks -fmt, minor edit

> (Linux sysadmin, running automated backups -related : >>37419 ) >=== -patch crosslink

Everyone here has much to gain from watching this mans genius videos. https://www.youtube.com/watch?v=Wiy_eHdj8kg

>>38697 POTD Great find, Anon. Cheers. :^)

The journal Science has a Robotics periodical. https://www.science.org/journal/scirobotics

What Are Dilatants? https://www.azom.com/article.aspx?ArticleID=6113 https://aoblpump.com/blogs/dilatant-fluid/ https://www.sciencedirect.com/topics/engineering/dilatant-fluid https://en.wikipedia.org/wiki/Dilatant https://en.wikipedia.org/wiki/Non-Newtonian_fluid

Collaborative Robots safety technical specification ISO/ts 15066 https://blog.robotiq.com/why-is-the-new-iso-standard-is-important-for-the-robotic-industry

These are helpful, thanks! :^)

Great video with a down to Earth explanation of foundational engineering concepts. https://www.youtube.com/watch?v=rRFgm_QSc74

The First Six Books of The Elements of Euclid With Coloured Diagrams and Symbols https://www.c82.net/euclid/

SEI CERT C and C++ Coding Standards https://www.sei.cmu.edu/library/sei-cert-c-and-c-coding-standards/ https://wiki.sei.cmu.edu/confluence/pages/viewpage.action?pageId=88046682 A collection of software standards intended to improve security/stability of systems code, and to reduce vulnerabilities at the same time.

>>39573 >>39799 Neat! Thanks.

Excellent chip-manufacturing learning video via /digi/ : https://www.youtube-nocookie.com/embed/B2482h_TNwg

>>41476 >related: They have a remarkable catalog of (mostly) tech topics: https://branch.education/

>>41476 >>41518 Here's a playlist about computers. Wew! Kinda dense for my wee little brain. :D https://www.youtube.com/playlist?list=PL6rx9p3tbsMsZ9hUvU-kDOXc8Fot04Hhu But I still keep plugging at it! :^)

Having trouble learning binary addition, Anon? Then just play with some marbles! :D https://trashchan.xyz/robowaifu/thread/26.html#1333

If you like Minecraft, then you might like this: https://openredstone.org/ https://www.youtube.com/playlist?list=PLdY48wAmI3aCCeRO83bjYrOSQNmrO_hE1

Some useful basic Linux terminal guidelines: https://www.youtube.com/watch?v=s3ii48qYBxA

https://en.wikipedia.org/wiki/Moravec%27s_paradox >tl;dr "hard" things are easy for robots; "easy" things are hard.

Lectures for UC Berkeley CS 182: Deep Learning. https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A

LLM Visualization https://bbycroft.net/llm Probably doesn't convey much until you have basic understandings (cf., eg. : >>43995 ), but fun to see a 'simulation' of LLMs working nonetheless.

The remarkable evolution of computers through the years. https://www.youtube.com/watch?v=aa6YISbAJEA

Joseph Hamill - Biomechanical Basis of Human Movement f297e466ab5935d2a0d231180db8e0d3

Posting this here about mental math because of the pinned thread suggestion: >Look for things we don't know, but should know. Just wanted to share some tools that helped me improve my mental math speed and accuracy. My small lurker's contribution. Practice is key: Mental Math Secrets (YouTube - Math and Science): Best structured course I've found. This month it completes 16 years. https://www.youtube.com/playlist?list=PLnVYEpTNGNtXV56n2ywgUYpRz1y0BAb9x Math Tricks Workout (app): Great for practice and building speed. Mental Math Master (app): good for overall practice and accuracy. Math Trainer (mathtrainer.ai): go-to PC/browser option.

>>44456 Thanks Anon, great addition to the RoboUni thread! Cheers. :)

>>44658 >Tensor Calculus >related: https://www.youtube.com/user/eigenchris https://redirect.invidious.io/user/eigenchris

Intredasting stuff about underwater ROVs. https://poseidonrov.com/blog