Human-Robot Teaming for Search and Rescue - Robotics Institute Carnegie Mellon University

Human-Robot Teaming for Search and Rescue

Illah Nourbakhsh, Katia Sycara, Mary Koes, Mark Yong, and Steve Burion
Journal Article, IEEE Pervasive Computing, Vol. 4, No. 1, pp. 72 - 78, 2005

Abstract

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.

BibTeX

@article{Nourbakhsh-2005-9106,
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},
year = {2005},
month = {January},
volume = {4},
number = {1},
pages = {72 - 78},
keywords = {urban search and rescue, robots, agents},
}