Human-Robot Teaming for Search and Rescue

Illah Nourbakhsh, Katia Sycara, Mary Koes, Mark Yong and Steve Burion
Journal Article, Carnegie Mellon University, IEEE Pervasive Computing: Mobile and Ubiquitous Systems, pp. 72-78, January, 2005

View Publication

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


This work establishes an architecture for Urban Search and Rescue and a methodology for mixing real-world and simulation-based testing. A sensor suite and sensor fusion algorithm for robust victim detection permits aggregation of sensor readings from various sensors on multiple robots.

author = {Illah Nourbakhsh and Katia Sycara and Mary Koes and Mark Yong and and Steve Burion},
title = {Human-Robot Teaming for Search and Rescue},
journal = {IEEE Pervasive Computing: Mobile and Ubiquitous Systems},
year = {2005},
month = {January},
pages = {72-78},
keywords = {urban search and rescue, robots, agents},
} 2017-09-13T10:43:39-04:00