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The worst part about taking your dogs for a walk is carrying the crap bags back to your house. In this video, I design, build, and program a hexacopter drone to autonomously fly to my location, pick up the poop bag, and return it safely home. I'm going to need to build a drone from scratch, figure out how to program it with python, use an AI object detection model to detect the bag from the air, engineer a gripper mechanism to grab the payload, create an app to send my location to the drone, and write an algorithm to land precisely on a target within inches of accuracy. It wasn't easy... //chapters 00:00 - Intro 01:04 - Build 02:46 - First Flight 05:50 - Stereo Vision 08:33 - Bag Detection 10:55 - Firmware Bug 12:50 - New Approach 15:57 - Bag Landing 21:25 - App 23:01 - Issues Recap 25:48 - Final Mission 30:41 - Conclusion //socials Instagram: tesseract.yt TikTok: tesseractyt //longer description Step 1: Build a DIY drone starting with a hexacopter frame, solder speed controllers and motors, attach and calibrate the Pixhawk flight controller, set up the Arducopter / PX4 firmware Step 2: Mount an Nvidia Jetson nano on the drone with a 3D-printed case, program the Pixhawk to accept commands from the Jetson, which runs Ubuntu. Step 3: Use a Realsense depth camera combined with ROS to integrate dynamic obstacle avoidance with Arducopter Step 4: Train a Tensorflow object detection model to detection plastic bags Step 5: Build a mobile app that can send my GPS coordinates to the drone over the internet via a VPN and cellular internet connection Step 6: Build the full autonomous mission sequence Step 7: Pickup doodoo! //Channels I'm inspired by Stuff Made Here Michael Reeves Mark Rober William Osman Peter Stripol //hashtags #drone #programming #robotics #python #arduino #autonomousflight #rcplane //music Sea - John Vallis (johnvallis.co.uk) • Sea - Royalty Free Music Minimalist/E... Epidemic Sound https://www.epidemicsound.com/ Music from #InAudio: https://inaudio.org/ Hard Context Sensitive - World's Edge / contextsensitive https://contextsensitive.bandcamp.com/