This was Brandon Cook’s third year attending the AIAA SciTech Conference. Cook presented his research paper “A Fuzzy Logic Approach for Low Altitude UAS Traffic Management (UTM),” which was co-authored with AEEM professor, Kelly Cohen, PhD.
“While many of industry leaders, such as Amazon’s package delivery services, want to be able to fly their UAV’s at this very moment, there are several standards, regulations, and technologies that need to be in place prior to allowing beyond-line-of-sight operation in populated areas—for example, flying your aircraft autonomously or remotely over a city,” explains Cook. As the number of drones in the air surges year after year, it is imperative that aerospace engineers are integrating technology into the design process that reduces that amount of potential mid-air collisions.
Cook’s research on fuzzy logic is doing just that, he explains, “By utilizing the bio-inspired fuzzy-logic approach which resembles human-like decision making responses, the drones essentially have the ability to “think” for themselves and adapt to the situation at hand. Therefore, my work focuses on helping develop a platform to enable this beyond-line-of-sight operation.”