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Robotics Education

LeadHK has been authorized as the comprehansive agency of FeisiLab‘s products in Hong Kong and Central Asia.

The FeisiLab has developed and completed products with full independent intellectual property rights, mainly including: UAV swarm formation research platform, visual SLAM research platform, and flight control simulation research platform, which are suitable for UAV teaching and research. They are an ideal experimental and research platform for undergraduates, master’s students, doctoral students, and scientific researchers. In the future, Feisi will closely follow the trend of intelligent technology, continuously innovate in science and technology, and develop more research platform products that promote the development of unmanned intelligence.

Swarm Simulation Platform

It allows school laboratories to focus more on algorithm research, verify theoretical results, improve experimental efficiency, greatly promote the integration of teaching and research, and accelerate the progress of teaching and scientific research.

Drone Platform

It uses laser altimeter and optical flow for positioning, supporting optical positioning system navigation and location;

Excellent performance, stable flight. It has an independently owned intellectual property rights UAV secondary development platform, supporting model-based design and development.

Supports ROS secondary development; supports MATLAB secondary development. It supports indoor UAV swarm control, air-ground collaborative swarm control, and supports model-based design.

Rover Platform

RoverPlatform is an intelligent unmanned vehicle designed for the development field of unmanned vehicle systems. The vehicle body is made of high-strength aluminum alloy, with a large load capacity, strong shock absorption performance, and stable operation.

High-precision positioning and navigation Equipped with a full set of sensors and navigation software, it supports binocular visual SLAM navigation and laser SLAM navigation.

Autonomous route planning and automatic obstacle avoidance The unmanned vehicle can be equipped with infrared cameras and visible light cameras, capable of target identification and target following.

Source code support for secondary development The code is fully open-source, greatly reducing the user’s threshold for use, allowing users to quickly get started with learning or secondary development.