On 1/8/22, Mr. Nicholas Polosky presented his work titled, “Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU” at IEEE International Workshop on Communication and Networking for Swarms Robotics (Robocom) 2022.
In this work, ANDRO’s Marconi-Rosenblatt AI/ML Innovation Lab introduced and demonstrated MR-iFLY, a framework that combines the strengths of traditional approaches and machine learning for autonomous collision avoidance for sUAS with minimal sensors. This is part of Navy SBIR Phase II work that is being done at ANDRO’s MR Lab.
Read the full paper here