Autonomous Indoor
Drone
Solutions
Advanced autonomous drones designed specifically for indoor environments.Navigate, map, and monitor indoor spaces with unprecedented precision.
Advanced Indoor Autonomous System
Discover our cutting-edge technologies powering the next generation of indoor autonomous dronesAutonomous Indoor Navigation
CUAstro is an advanced autonomous drone system designed specifically for indoor exploration and mapping. Our cutting-edge technology enables drones to navigate complex indoor environments without GPS.Advanced SLAM Technology
Utilizing state-of-the-art Simultaneous Localization and Mapping (SLAM) algorithms for precise navigation and real-time mapping.Intelligent Obstacle Avoidance
Advanced sensors and AI algorithms enable real-time detection and avoidance of obstacles, ensuring safe navigation in dynamic indoor environments.Autonomous Mission Planning
Sophisticated path planning and mission control capabilities allow for automated inspection routes and data collection with minimal human intervention.Advanced Autonomous Systems
Powered by cutting-edge technology and innovative algorithmsComputer Vision
Advanced visual processing algorithms for real-time environment mapping and object detection
Real-time object recognition
Visual SLAM implementation
Deep learning-based scene understanding
Navigation System
Sophisticated path planning and obstacle avoidance for safe indoor flight
Dynamic path optimization
Multi-sensor fusion
Real-time trajectory adjustment
Control System
Precise flight control and stability in confined spaces
Advanced PID control
Attitude estimation
Disturbance rejection
CUAstro by the Numbers
Delivering measurable results through innovative technology100+
Successful Deployments
Across various industries
1M+
Flight Hours
Of autonomous operation
99.9%
Reliability
System uptime
50+
Enterprise Clients
Worldwide
Meet the Experts
The brilliant minds behind CUAstro's innovative technology
Duan Qigeng
System Lead
System Design / Perception Research
Xia Feihuang
Theoretical Scientist
Theoretical Research
Da Wan
Mechanical Designer
Mechanical System Design
Huang Yijun
Software Lead
Software Systems Architecture
Zhao Benyun
AI Researcher
Artificial Intelligence Research
Ye Ren
Mechanical Designer
Mechanical System Design
Ben M. Chen
Team Supervisor
Professor, Department of Mechanical and Automation Engineering
Xi Chen
Principal Investigator
Professor, Department of Mechanical and Automation Engineering