I'm not sure if you're joking. Algorithms for adaptive kinematics aren't trivial things to create. It's kind of like a worst case scenario in computer science; you need to handle virtually unconstrained inputs in a constantly variable environment, with real-world functors with semi-variable outputs. Not only does it need to work well for one joint, but dozens of them in parallel, working as one unit. It may need to integrate with various forms of vision or other environmental awareness.
I'm certainly not intelligent enough to solve these problems, but I don't think any intelligent people out there can either. Not alone, at least. Maybe I'm too dumb to realize that it's not as complicated as I think, though. I have no idea.
I programmed a flight controller for a quadcopter and that was plenty of suffering in itself. I can't imagine doing limbs attached to a torso or something. A single limb using inverse kinematics, sure – it can be mounted to a 400lb table that never moves. Beyond that is hard.
I believe you’re missing some crucial points. *There is a reason neural network based flight controls have been around for decades but still not a single certified aircraft uses them.*
You need to do all of these things you’re talking about and then be able to quantify stability, robustness, and performance in a way that satisfies human requirements. A black box neural network isn’t going to do that, and you’re throwing away 300 years of enlightenment physics by making some data engorged LLM spit out something that “sort of works” while giving us no idea why or for how long.
Control theory is a deeply studied and rich field outside of computer science and ML. There’s a reason we use it and a reason we study it.
Using anything remotely similar to an LLM for this task is just absolutely naive (and in any sort of crucial application would never be approved anyways).
It’s actually a matter of human safety here. And no — ChatGPT spitting out a nice sounding explanation of why some controller will work is not enough. There needs to be a mathematical model that we can understand and a solid justification for the control decisions. Which uh…at the point where you’re reviewing all of this stuff for safety , you’re just doing the job anyways…
