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Giving Microduck object-tracking vision capabilities! 🦆👀🤖 It can now play fetch and doesn't get confused by other objects. Using Roboflow Trackers library I made Microduck keep track of the different objects in its sight and has a control policy for reaching the ball it tracks. Open-Source code below 👇

Alex Bodner

1,516 subscribers

31,283 Aufrufe • vor 12 Tagen •via X (Twitter)

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11 Kommentare

Profilbild von Alex Bodner

Alex Bodnervor 12 Tagen

object tracking library: microduck integration: Leave a star🌟 if you like it!

Profilbild von jrubiosainz

jrubiosainzvor 11 Tagen

@roboflow Oh!! This is quite similar concept than rhe one I created here:

Profilbild von Alex Bodner

Alex Bodnervor 11 Tagen

@roboflow Nice!

Profilbild von Konstantin Goncharuk 🇺🇦

Konstantin Goncharuk 🇺🇦vor 11 Tagen

@roboflow looks very cool! is there also an example how to use it with the sim you have on the video? whats that btw?

Profilbild von Alex Bodner

Alex Bodnervor 11 Tagen

@roboflow thanks! yes, you can replicate the video with:

Profilbild von Konstantin Goncharuk 🇺🇦

Konstantin Goncharuk 🇺🇦vor 11 Tagen

@roboflow ah, awesome, thanks!

Profilbild von Moira Shooter

Moira Shootervor 12 Tagen

@roboflow This is really cool! 😎

Profilbild von Alex Bodner

Alex Bodnervor 12 Tagen

@roboflow Thank you!

Profilbild von Rok Benko

Rok Benkovor 11 Tagen

I open-sourced quackd: a brain for the Microduck. You tell the Microduck what you want in plain language, like "find the ball and kick it", and an LLM plans the steps using the skills the duck already has. Supports local LLMs as well. Goals live in .duck files, the same idea as the .skill files Claude uses, but for a duck. Works today in the bundled simulator, no hardware needed.

Profilbild von James Astor

James Astorvor 11 Tagen

@matth_lapeyre @roboflow How many policies can the microduck have in the end? Like, once it actually arrives will it be capable of tens or hundreds of capabilities?

Profilbild von SB

SBvor 10 Tagen

@roboflow Inspired by your elegant two-view setup—we added a true head-camera POV alongside an elevated overview for our controlled-roll experiment. The 0.82 s handoff passed 3/3 perturbed seeds. Open results:

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