@misc{potter_autonomous_2024,
 abstract = {This paper presents the design and implementation of an autonomous robotic system for disaster mapping and victim localization. Using a Turtlebot3 with ROS Noetic, the system generates comprehensive maps and identifies victims in closed, unknown environments. It incorporates a Cubature Kalman Filter for AprilTag localization and an information-theoretic exploration algorithm to expedite exploration. The system demonstrates robustness and agility, making it suitable for real-world search and rescue missions.},
 author = {Potter, Michael and Bhowal, Rahil and Zhao, Richard and Patel, Anuj and Cheng, Jingming},
 doi = {10.48550/arXiv.2404.13767},
 keywords = {Computer Science - Robotics, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition},
 month = {April},
 note = {arXiv:2404.13767},
 publisher = {arXiv},
 title = {Autonomous Robot for Disaster Mapping and Victim Localization},
 url = {http://arxiv.org/abs/2404.13767},
 urldate = {2024-12-04},
 year = {2024}
}