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XGO-Rider is a two-wheel self-balancing robot with an ESP32 controller for motor and servo control, USB-C charging, etc… and a choice between a Raspberry Pi CM4 module or a BBC Micro:bit board for display, audio, and camera (CM4-only).
It’s not the first robot from Luwu Intelligence, since the company launched the XGO-Mini robot dog in 2021, followed by the XGO 2 Raspberry Pi CM4-powered desktop robotic dog with an arm which we reviewed last year. The new XGO-Rider builds on these earlier models but in a different form factor moving from four-legged robots to a 2-wheel self-balancing robot design with many of the same features including AI vision running on the Raspberry Pi CM4.
The Raspberry Pi CM4 version of the robot supports programming with Python, Blockly, and ROS, and can run various AI computer vision workloads such as Gesture Recognition, Face Detection, Skeleton Recognition, and more, as well as ChatGPT. The micro:bit XGO-Rider was developed in collaboration with ELECFREAKS to support MakeCode/MicroBlocks visual programming IDE which is especially suited to children’s STEM education.
The company points to its GitHub account for more details, but I don’t see anything specific to the new XGO-Rider at this time. Backers and users will also be able to get supported through a dedicated Facebook group. Watch the video below to better understand some of the capabilities of the self-balancing “AI” robot.
Luwu Intelligence has launched the XGO-Rider self-balancing robot on Kickstarter with an 80,000 HKD ($10850 US) funding goal that has already been reached. “Super Early Bird” rewards start at about $250 US for the micro:bit XGO-Rider, and around $300 for the CM4-powered XGO-Rider. Shipping adds from $10 to China up to $40 to most of the world, and backers should expect their perks to ship in August if everything goes according to plans.
Jean-Luc started CNX Software in 2010 as a part-time endeavor, before quitting his job as a software engineering manager, and starting to write daily news, and reviews full time later in 2011.
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