|Indoor Flight in Degraded Visual Environments
Our goal is to fly indoors in degraded visual environments to localize people and fire. We are developing accurate real-time localization and control to be able to fly in these challenging conditions.
|Micro Air Vehicle Scouts for Intelligent Semantic Mapping
The goal of this project is develop the next level of capability for a low-flying, map building MAV scout. The research will demonstrate rapid scouting in cluttered environments and acquire relevant semantically annotated maps.
This project is developing technology to map riverine environments from a low-flying rotorcraft. Challenges include dealing with varying appearance of the river and surrounding canopy, intermittent GPS and a highly constrained payload. We are developing self-supervised algorithms that can segment images from onboard cameras to determine the course of the river ahead, and we are developing devices and methods capable of mapping the shoreline.
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
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