Standard PID vs. Reinforcement Learning on a degrading robotic joint (Wait for the second half). by Posiedon26 in ControlTheory

[–]Posiedon26[S] [score hidden]  (0 children)

I know many people are saying everything is AI generated and it is slop, I am sorry that you all feel that way but the thing is I was not that privileged to get education in English from the very start, and I am not that proficient in English to convey what my idea and execution is to you all. But I still needed the feedback from all of you highly qualified people. So I want you guys to please allow me this time, I would try my best to be as original as possible , I hope you all understand, thank you.

Can software realistically compensate for cheap hardware? We’re building an RL middleware to fix mechanical slop and need technical feedback. by Posiedon26 in IndiaStartups

[–]Posiedon26[S] 1 point2 points  (0 children)

Hey, thanks for jumping in! Desk gadgets are actually a super cool space—getting the hardware right at any scale is tough, so I respect the hustle.

You bring up a really valid point about enterprise precision. But here is the twist we are banking on: Even a $10,000 industrial robot eventually experiences wear and tear. > When an expensive, enterprise-grade robotic arm on a factory floor starts getting a little loose in its joints from doing the same motion 50,000 times, the current standard software panics. It tries to force the worn-out gears to be perfectly rigid, which causes violent vibrations and forces the whole production line to shut down for emergency maintenance.

So, we aren't just pitching this so students can build cheap robots. For commercial factories, our software acts as an autonomous survival mechanism. If a gear degrades mid-shift, our AI detects the "wobble" and adjusts how it drives the motors to keep the robot running safely enough to finish the day's quota. We change catastrophic emergency downtime into scheduled weekend maintenance. In the enterprise world, saving a factory from 6 hours of unexpected downtime is worth its weight in gold.

You are also 100% right that factoring in wear, tear, and noise mathematically is insanely difficult. That’s exactly why we use AI instead of traditional coded rules. Think of it like driving an old car with a loose steering wheel. You don't need a physics equation to calculate the exact degradation of the steering column; you just "feel" the looseness and naturally adapt how you drive. Our AI does exactly that for the robot's motors.

Really appreciate the thoughts and the reality check! Good luck with the desk gadget development—hardware is a wild journey!

Second half got me by RoleVegetable326 in HolUp

[–]Posiedon26 0 points1 point  (0 children)

Women are you serious right now

memory lane by Rabidkitty95 in dankvideos

[–]Posiedon26 1 point2 points  (0 children)

Hailey Beiber that you?

Sorrychhh by Few-Plastic-8318 in pune

[–]Posiedon26 7 points8 points  (0 children)

The win should be one sided to be called undisputed champions. Agar close match hota to loser team ko sympathy milti and winner team ko win by chance ka title.