Ensures both advanced decision-making performance and system compatibility. It supports all the AI functions of the previous AI Kit products, along with ROS 2 basic functions such as vision-guided grasping and multiple remote control methods, opening up more ways to explore

equipped with 5MP 175° Ultra wide-angle camera for capturing every detail

The 360°-Rotating Robotic Arm adopts high-torque bus servos with excellent expansion potential, providing a better control experience as FPS games.

Equipped with a camera as its “eyes,” the robot can follow a ground guide line while detecting and picking up small blocks during movement. When a target is detected, the robotic arm precisely extends and grasps the block, seamlessly combining line following and vision-based object picking in one smooth demonstration

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

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.

6 wheels × 4WD design, using 6 wheels can provide a more stable platform and larger contact area, while 4WD can provide stronger power and traction to deal with various terrains and obstacles

Can be used to install a variety of peripherals, including D500 Lidar, STL-27L Lidar, camera, or other modules. Open source for DXF drawing and 3D model, which is more convenient for secondary development

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 arrow keys and the mouse via a PC with keyboard

The 3D digital twin view and data panel on the web interface update in sync, making the motion status clear at a glance for easier remote control

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

based on OpenCV to achieve color recognition and automatic Targeting

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

supports recognizing many common objects with the default model

Combines OpenCV and MediaPipe to realize gesture control of LED and interact seamlessly with AI

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

Integrated with Vision line tracking function on the Computer Vision demo, comes with yellow tape for easier planning a path for the robot. Users can understand the basic algorithms of autonomous driving with this simple demo

Reserved space on the mounting plate with M2.5 mounting holes, for installing D500 / STL27L Lidar or other peripherals

* Comes with screws and cables for installing the D500 LIDAR, please refer to documentation for more details. The D500 LIDAR and Batt set are NOT included.

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

Real-time monitoring the operating status of the robot

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

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

Comes with a wireless gamepad, making robot control more flexible. Connect the USB receiver to a computer for remote operation over the network, or directly to the robot for short-range wireless control. Provides open source demo for customizing your own interaction method

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.

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

Onboard high-efficiency UPS module, supports charging and discharging at the same time to ensure continuous standby time

* the 18650 batt is NOT included

The sub controller performs high-frequency PID closed-loop speed control, supports quick response and accurate speed control, with High-speed motors, up to 0.5m/s