Review on Yahboom Robotics Autopilot Tracking Recognition by Julie Phillips

What I like: In addition to the Nvidia Jetson board, which you must purchase separately, this kit includes everything you need to build a working system. The Jetson board offers enough processing power to run machine learning models (e.g. for object recognition) in real time, which is arguably quite difficult to achieve with other Raspberry Pi-based cars. "Neck” (lifter) and "head” (camera) have six degrees of freedom, which greatly simplifies tracking moving objects in their field of view. Put on his bulging eyes and fluffy ears, and you can easily turn him into a pretty expressive and cute robotic pet. Since it runs Ubuntu 18.04, it's easy to understand if you have previous Ubuntu experience. I could treat it like another Ubuntu system on my home network and ssh, copy files and run programs on it right from the start. - Very fast and competent support. I had some issues with the OLED display but was able to get email/chat support and got the replacement parts within a few days. Truly 5 star service. All in all I have no problem building it and playing around with the included Jupyter demos in no time. Converting Jupyter programs to pure Python for my own purposes also worked fine. Features I would like to see in future versions: - Wireless charging so it can be forced back to base to charge automatically, like one of those robot vacuums. So it can be made to do something useful, e.g. B. to patrol a room, a robotic pet, etc. Improved audio support in addition to the sound signal, e.g. B. creating melodies, playing sound files or speech synthesis. .This kit is ideal for anyone who wants to get hands-on experience with robotics or machine learning. With some extra work of hooking up to a faster machine for training a machine learning model, it can even be a good tool for more advanced purposes.