Small Unmanned Aerial System

Small unmanned aerial systems (sUAS), or drones, are undergoing rapid development, driven by the need for reliable and safe operation in diverse and challenging environments. Current research focuses on improving sUAS capabilities through advanced simulation techniques (e.g., leveraging computational fluid dynamics for wind simulation), enhanced object detection (e.g., using self-reconstruction mechanisms to improve tiny object detection), and energy-efficient autonomy (e.g., employing compute-in-memory architectures for Bayesian filtering and variational inference). These advancements are crucial for expanding sUAS applications in areas such as disaster response, industrial inspection, and surveillance, while also addressing critical issues like equitable airspace management and human-drone interaction.