The developed system uses deep learning to mitigate the impact of unmanned aerial vehicle (UAV) jittering on wireless sensing performance. With the proposed technique, the UAV can be used to detect human presence in a target area by analyzing the received signal strength, enabling long-range and efficient aerial sensing applications.In our research, we extend the existing 2D through-wall wireless sensing to 3D through-wall aerial sensing. Compared to the existing wireless sensing with a fixed receiver, UAV cannot be accurately positioned in a specific location in the air. Due to the vibration characteristics of UAVs, it is challenging to apply the wireless sensing technology in UAV systems.In the long-term goals of the project, we hope to design efficient and reliable flying robots for mission-critical applications. Through the human-robot collaboration, we can achieve the vision of smart disaster relief and smart security. In addition, the project will develop the UAV communication network testbed for performance evaluation and demonstration. We will design a fully programmable UAV system based on open architecture and open source. The developed system will combine wireless sensing, flight control, and wireless communication technology. It is expected to become the foundation of Taiwan’s autonomous UAV research and achieve the important milestone of AI democratization in the age of drone.