Unmanned autonomous systems (UASs), including unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), and unmanned underwater vehicles (UUVs) are revolutionizing human society by alleviating the stress arising from the global trend of aging populations.

The ability to search from the air, our UAV utilizes the autopilot system for flight stability and autonomous flight. A new generation of UAV “PolyU-Strike” was developed and successfully completed the Intelligence, Surveillance and Reconnaissance (ISR) mission in a wide coverage in 40 minutes and recognized all 6 targets by applying real ...

The Trustworthy AI and Autonomous Systems (TAS) Laboratory is at the forefront of pioneering advancements in autonomous systems (such as UAV and self-driving cars) technology, emphasizing the importance of safety, reliability, and ethical standards.

This new UAV is specially designed for ISR (Intelligence, surveillance and reconnaissance) missions in disasters. The new propulsion system significantly improves the UAV’s endurance (40km / 40min in the air). The UAV’s data acquisition system can control various sensors to carry out search and geo-information acquisition in a single flight.

This paper proposes a learning-based UAV system for achieving autonomous surveillance, in which the UAV can be of assistance in autonomously detecting, tracking, and following a target object without human intervention.

Autonomous & Intelligent RObotics Lab @ PolyU Research Centre for Unmanned Autonomous Systems - AIRO Lab

Autonomous & Intelligent RObotics Lab @ PolyU Research Centre for Unmanned Autonomous Systems

The project aims to modify a 2-metre wingspan remote-controlled (RC) UAV available in the consumer market to be powered by a combination of solar and battery-stored power. The major objective is to greatly increase the flight endurance of …

This thesis presents a low-cost relative positioning method for a ground-air configuration consisting of Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs). The proposed method leverages the fusion of visual and Light Detection and Ranging (LiDAR) data to enhance the reliability, adaptability, and robustness of the system.

Seamless connectivity: We established a graph theory based framework to minimize the UAV's mission completion time subject to a cellular connectivity (in terms of SNR) constraint at any time instant during the flight. We proposed a polynomial-time algorithm that is proved to achieve arbitrarily close performance to that of the optimal solution.