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WiFi for accurate multi robot mapping and localization.

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.

Symposium Participant

Portrait of Paul Vohs

Paul Vohs

Project Details

Symposium Date: Fall 2018

Research Theme: Security

Presentation Type: FURI

Faculty Mentors

  • Stephanie Gil