FURI | Fall 2018

WiFi for accurate multi robot mapping and localization.

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In the near future, robots will be required to autonomously navigate in increasingly unstructured and complex environments, such as indoors or underground, where GPS may not be available. There have been many advances in Simultaneous Localization and Mapping (SLAM) in the past two decades, but there are still many issues and drawbacks with current methods. This research project aims to develop a way for multiple robots to accurately map and navigate in challenging, dynamic environments using sensor fusion of WiFi position data and other onboard sensors to reduce uncertainty in the robots’ positions.

Student researcher

Portrait of Paul Vohs

Paul Vohs

Computer science

Hometown: Flagstaff, Arizona

Graduation date: Spring 2021

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