Autonomous Navigation

Led by Ben Cox, the Autonomous Navigation team is working towards efficient path planning, obstacle avoidance, and AR tag analysis. Using a custom A-star search algorithm along with a tested stereo camera, the rover generates an environment-based occupancy grid and efficiently identifies the shortest path to a given destination.

On-board camera feeds are processed with OpenCV to identify Aruco markers and to assist with obstacle detection and avoidance.

Currently, the Autonomous Navigation team is working on parallel work and learning phases and recursive elimination, as well as the algorithm that continuously updates the map over time.

Current Members

• Aniket Joshi
• Tiffany Lukmantara
• Benjamin Cox
• Marine Kaufmann
• Gosoo Park
• Benjamin Lissner

Interested in joining the club?

BUMRC is always open to recruiting new members from all backgrounds and majors. For more information, please contact us.