FURI | Spring 2018

Computer Vision Navigation for Robotic Campus Guide

Introducing autonomous systems into complex environments, such as college campuses, presents many challenges in navigation. This research seeks to develop intelligent algorithms for a campus guide robot that utilizes visual markers (AprilTags) as a means of localization, navigation along a path, and tracking individuals following the robot, thus offering benefits over inertial sensors, such as accelerometers. High-level algorithms are layered on this system to accomplish navigation between campus landmarks. Developing this system will contribute to improved integration of mobile robots in the infrastructure. Future research will explore different marker systems for improvement, as well as integrate additional sensor data.