New environments require mapping for better understanding by the agents exploring them. In this project, we carry out environment exploration with a few agents operating on edge devices (NVIDIA Jetson Nanos) that perform Federated Learning with state-of-the-art Depth Estimation models. For training we collect real-time RGB images and depth information during exploration of various rooms around the UT Campus using RGB-D cameras. We then use Federated Learning and Machine Learning models to create Depth Estimation images based off the RGB images we collect of new rooms. 

Team Members

Marcus Curry
Diondre Milton Dubose
Tanner Hudnall
Maryn Kunthara
Jose Santos Negrete
Reva Vaidya
Benhur Yonas