Indoor intelligent IoT service robot training equipment can be assembled and consists of brain module and driving module
Drive unit adopts a 3-axis omni wheel to maximize the robot’s movement efficiency and minimize the turning radius
Main module is an edge supercomputer to support all popular AI framework
Gigabit Ethernet, dual-band Wi-Fi and Bluetooth for IoT connectivity are provided
Camera-based self- driving algorithm is implemented and vision camera for AI recognition judgment is built-in
Large-capacity battery and built-in charger
Supports dedicated operating system, Soda OS and Pop library, to minimize hardware dependence
Supports interpreter-based C/C++ development environment optimized for IoT programming including Python 3
Supports web browser-based dedicated learning environment that can simultaneously train Python 3 and C/C++ on PC and tablet
Confirming the name of mDNS/DNS-SD based dispersion and supporting the posting and discovery of network service
Supports integrated development environment for public use based on Visual Studio Code for professional application development
Provides IoT learning contents and deep learning-based service robot learning model