The SparkFun JetBot AI Kit is a robot platform powered by the Jetson Nano Developer Kit V3 by NVIDIA. This SparkFun kit is based on the open-source NVIDIA JetBot! We understand that not everyone has access to multiple 3D printers and a whole warehouse of electronics so we wanted to build a kit from ready to assemble parts to get you up and running as quickly as possible. The SparkFun JetBot AI Kit V2.1 is a great launchpad for creating entirely new AI projects for makers, students and enthusiasts who are interested in learning AI and building fun applications. It’s straightforward to set up and use and is compatible with many popular accessories.
Several interactive tutorials show you how to harness the power of AI to teach the SparkFun JetBot to follow objects, avoid collisions and more. The Jetson Nano Developer Kit offers useful tools like the Jetson GPIO Python library, and is compatible with common sensors and peripherals; including some new python compatibility with the SparkFun Qwiic ecosystem.
Additionally, the included image is delivered with the advanced functionality of JetBot ROS (Robot Operating System) and AWS RoboMaker Ready with AWS IoT Greengrass already installed. SparkFun’s JetBot AI Kit is the only kit currently on the market ready to move beyond the standard JetBot examples and into the world of connected and intelligent robotics.
This kit includes everything you need to get started with JetBot minus a Phillips head screwdriver and an Ubuntu desktop GUI. If you need these, check out the includes tabs for some suggestions from our catalog. Please be aware that the ability to run multiple neural networks in parallel may only be possible with a full 5V-4A power supply.
Items not Included but you will need:
Based on 5 ratings:
2 of 2 found this helpful:
I have posted my problems with using WiFi on both Sparkfun and Nvidia forums with no response from technical support. First time I have had that issue in many many years of buying Sparkfun products.
I'm sorry we were not able to assist you, unfortunately SparkFun didn't write the operating system for the Jetbot and Nvidia would be better able to assist you with your issue than SparkFun. You might give them a few days, with everything going on in the world right now they may be a bit slow to respond. I imagine it's probably something simple like needing to edit a config file somewhere but since we have not been able to reproduce the issue here, we don't know what to tell you to do.
1 of 1 found this helpful:
This is a good kit to start exploring the truly amazing capabilities (for its price) of the Jetson Nano. However, the instructions didn't keep up with the changes in the kit components. A changing set of components is inevitable as suppliers shift, but it can cause some confusion. for example, the camera mount that I received did have holes aligned for the camera. I tried drilling holes and shattered the mount in the process so I don't recommend it. I ended up using a small portion from the enclosed Velcro strip to mount the camera. A colleague told me that the separators weren't in the kit that he got, and another colleague told me that the wireless LAN adapter didn't work. You can work around all of these problems, but be prepared.
1 of 1 found this helpful:
I have spent time testing the robot and most of the promised functionalities are there. The only doubt I have regarding SparkFun's JetBot is the support for newer versions of JetPack (4.4 and 4.5). It would be great if SparkFun provides images of these newer systems.
0 of 2 found this helpful:
This is one of the best robotics platforms I have used to date. It takes a few minutes to power on, get it on the network and drive the wheels via jupyter notebook. Then you can go to the command prompt and get your hands dirty with ROS to drive the robot.
We bought six sets of the JetBots to use for teaching in a classroom. All of the kits were easy to build, and the online guides from SparkFun are very good. However, two out of six of the Qwiic micro OLED displays were DOA. There are currently (as of February 2021) an issue with the Linux driver for the Edimax USB WiFi adapter, so we had to replace the USB WiFi dongles with Intel 8265NGW M.2 cards to get a stable connection to the JetBots.