Robot that makes me an Aiming Pro | Physical Aimbot

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Published 2022-04-24
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All Comments (21)
  • @Lightinway
    Please give that robot a better mouse. You're holding it back
  • @Alex-de7rz
    For people who code, we all know this not as simple as his explanation. Great work.
  • @Chrexter
    Way late, but this was one of the coolest videos I've seen. Good ingenuity
  • This proves that you can get pro level aim with a cheap wireless mouse and a high latency screen.
  • @lordsiomai
    Now I wanna see an aim lab tournament with this against 5 pros lol
  • That was an awesome project! I was super impressed with how well it turned out. I’m sure that you could beat TenZ with a little more optimizing.
  • @omaryahia
    I am a backend developer, but I took 2 embedded systems courses, I like this a lot combining hardware with software with Machine Learning is just amazing and a complex task oh man , you are a "Real" software engineer, you had an idea and you made it into reality and kept developing it congratulations
  • @moatddtutorials
    Possible improvements: (physical) - unshell the mouse and mount its optical sensors directly onto the robot. This will reduce rattle/wiggle and ditch the mass of the shell. - replace the mouse buttons with relays that can be directly triggered. - move as many components as possible into a separate stationary breakout box, again, to reduce the mass of the mobile unit. Ideally, your mousedroid will have only motor drives, wheels and the optical sensor(s) within the mobile unit. (possible complete reconstruction) - consider keeping the sensor itself completely stationary and inverted (pointing up) and moving the surface instead (a thin piece of roughened plastic that is easily optically trackable and could be moved with a geared/belted X/Y setup. - or, mount the sensor in the same way as the printing head of a 3D printer over the tracking surface. (programming) - keep tabs on the velocity of the mousedroid and don't just take the proximity of the target into account, but also try to select targets that are also in line with the current direction of motion to reduce the amount that the mouse has to turn.
  • Waddp carter! Found this video on tiktok and im super glad i found the channel. Super excited to watch more of your content.
  • @akiko009
    Awesome stuff. An algorithm change to allow shots while on the move should give you those extra points. Plan ahead for the optimum path, re-evaluate if targets change, shoot as you pass the target on the way to the next. That's how the humans do it. Never slow down, and estimate distances in terms of time to get there, not physical distance. You might also want to get an old school rubber ball mouse, toss the ball, and turn the rollers directly.
  • @giovannimela504
    Cool video and nice work! I feel like the PID tuning would be much easier of you focus on singular events. For example if you let the robot shoot a couple of targets and then make a plot of "error" over time, you might have an easier time making the PID feedback faster while keeping an eye on overshoot and unwanted oscillations. Probably too much work but it would be cool to see these kind of plots!
  • @SparksandCode
    Great job. I had this same idea a few months ago. I moved it down on my list. Using wheels a great idea. Again great job.
  • @bcd398
    Another genius using his powers for evil lol
  • @darkstar8196
    Nice work, man. I don't know little to nothing about this stuff, but I know it can't be easy.