cross-posted from: https://futurology.today/post/3281905

The previous two seasons were so far beyond any of the older seasons that I’m demanding you to watch seasons 6 and 7, before the world championship starts up again.

In the past, Battlebots was full of disappointing matches. The robots broke so quickly it was never really worth your time. Whenever they died, it was never obvious or interesting. Just one anti-climatic fight after another. That age ended with season 6, with 7 being even more impressive.

I think everyone needs to give combat robotics a second look.

I was aiming to use LLMs with robotics in an upcoming project, and needed to first verse myself in what is the current must-know techniques in the space. To that end I read a ton of papers and wrote this article to try and suss out the best parts of current state of the art.

I hope this helps people; I'd be thrilled to discuss much of this as well!

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A cool application of RLHF (Reinforcement Learning w/ Human Feedback - the same approach as what OpenAI used to train ChatGPT).

The authors trained an agent to fly FPV drones at a level surpassing world champions.

I have argued for awhile now that the probabilistic nature of LLMs can represent a form of context that, when applied, can be utilized for robotic applications.

Seems I'm not the only one that had this idea. While simple, Microsoft researched applied a high level control library to demonstrate LLMs (ChatGPT) developing robotic task code.

ROS maintainers discuss popular robotics control and navigation algorithms in use within ROS2. The associated discussion can be found here.

If you're looking for what to study or try applying in your own projects next, this is worth a look.

This is the routine thread where we discuss what you'll be working on this week! A cool robot? A computer vision project? Something cool in reinforcement learning? 3d printing a drive train? Let us know!

Maybe instead you're studying something, or reading a paper that just came out? Post about it!

It’s also okay to say “nothing” too - it’s great for your mental health to take a break!

Looking for help? Ask a question! See someone working on something cool? Ask them about it! No project is too small or too "newbish"!

In my first attempt at a long form technical post, I talk about a project where I had to use deep reinforcement learning to try and solve a robotics application. It worked ok - the post talks about my struggles, solutions, and what I'd change up in the future.

Link to the full paper