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Originally Posted by saikiranra
We modified the code today to provide us with more #YOLO strength. We will be testing this on Thursday, and will hopefully film our results.
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Its good to see some people modifying and optimizing the "swagorithms" to achieve optimal-swag. I'm regretting putting the code on a GitHub gist as opposed to a dedicated Git repo, but if you could send the code back in any form I would really appreciate it and I'll be sure to credit you!
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Originally Posted by FrankJ
It doesn't. We tried it & our robot went straighter. It apparently counteracted our mechanum's natural squirrellyness. It did turn it into a pretty good pusher though.
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Wat. Try tuning the swag-constants?