Raspberry Pi OS + ROS2 Docker

Ensures advanced decision-making performance of robot and system compatibility at the same time. Supports all AI functions of the previous AI Kit series products

360° Flexible Omnidirectional Pan-Tilt

equipped with 5MP 160° wide-angle camera for capturing every detail

Open source for all ROS 2 Development Resources

Open source for all demos of host controller and sub controller, including robot description file (URDF model), sensor data processing node of sub controller, kinematic control algorithms, and various remote control nodes

Adopts multiple sensors with high cost-effectiveness and practicality

You can use the basic ROS 2 functions on the Web without installing a virtual machine on the PC, supports cross-platform operation on Android or iOS tablets. Users can simply open a browser and control the robot for moving, mapping, navigation, and other operations

ROS2 node command interaction

Users can send control commands to the robot by a script for performing operations such as moving, obtaining the current location, and navigating to a specific point, etc. which is more convenient for secondary development

Gazebo simulation debugging

Provides Gazebo robot mode and complete functionality library for simulation debugging, helping you verify and test the system during the early stages of development

Standard Aluminum rail

Comes with 2 × 1020 European standard profile rails, and supports installing additional peripherals via the boat nuts to meet different needs, easily expanding the special operation scenarios

Note: Only the rail, boat nuts, and M4 screws are included, other accessories should be purchased separately.

Supports driving in complex terrain

Adopts tracked mobile robot chassis with independent Suspension Systems for more stable off-road crossing ability

Easy To Control Via

Cross-Platform Web Application

No App installation required, allows users to connect and control the robot via mobile phones, tablets and computers via browser Web App. Supports shortcut key control such as WASD and the mouse via a PC with keyboard

WebRTC real-time video transmission

Adopts Flask lightweight web application, based on WebRTC ultra-low latency real-time transmission, using Python language and easy to extend, working seamlessly with OpenCV

Recognition, Tracking, and targeting

Based on OpenCV to achieve color recognition and automatic Targeting. supports One-key Pan-Tilt control and automatic LED lighting, allows expansion for more functions

Face Detection:
Automatic picture or video capturing

Based on OpenCV to achieve Face recognition, supports automatic photo taking or video recording once a face is recognized

Intelligent Object Recognition

Supports recognizing for many common objects with the default model

Gesture Recognition:
AI Interaction with body language

Combines OpenCV and MediaPipe to realize gesture control of Pan-Tilt and LED

Gesture control for photo taking	LED ON/OFF and blacklight control

Complex Video Processing Tasks

MediaPipe is an open-source framework developed by Google for building cross-platform multimedia processing pipelines, provides a set of pre-built components and tools, its high-performance processing capability enables the robot to respond to and process complex multimedia inputs such as real-time video analytics.

Face Recognition	Attitude Detection

The robot only occupies the URAT interface of the Raspberry Pi GPIO for communication, adapting outer side 40PIN header of the driver board for expanding more peripherals and functions

Web page command line tool
Multiple Functions for Easier Expansion

Quick to set up, easy to expand
Easily customize and add new functions without Modifying front-end code

ESP-NOW Wireless communication between robots

Based on ESP-NOW communication protocol, multiple robots can communicate with each other without IP or MAC address, achieving multi-device collaboration with 100-microsecond low-latency communication

Gamepad Control for better operation Experience

Comes with a wireless gamepad, making robot control more flexible. You can connect the USB receiver to your PC and control the robot remotely via the Internet. Provides open source demo for customizing your own interaction method

Supports 4G/5G Expansion

Supports installing 4G/5G module* for the application scenarios without WiFi

* You may need to use Tunneling Service such as Ngrok, Cpolar, or LocalTunnel to expose the local network service of the robot (Flask application) to the Internet so that you can control the robot from anywhere.

Realizes remote control across the internet

Supports installing smartphone holder

If you have a spare phone, you can install it on the robot via holder as below, using the phone to create a hotspot for the robot and achieving remote control across the internet at a lower cost

* Comes with a smartphone holder with 1/4″ screw in the package

Rich Tutorial Resources

We Provide Complete Tutorials And demos To Help Users Get Started Quickly For Learning and Secondary Development

Open-source all demos
Full dual-controller technology stack