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Human-Robot Teaming for Search and Rescue
I. Nourbakhsh, K. Sycara, M. Koes, M. Yong, M. Lewis, and S. Burion
IEEE Pervasive Computing: Mobile and Ubiquitous Systems, January, 2005, pp. 72-78.

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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.

Sponsor: NSF
Grant ID: IIS-0205526

Associated center: CIMDS
Associated lab/group: Intelligent Software Agents
Associated project: Urban Search and Rescue

Number of pages: 7

I. Nourbakhsh, K. Sycara, M. Koes, M. Yong, M. Lewis, and S. Burion, "Human-Robot Teaming for Search and Rescue," IEEE Pervasive Computing: Mobile and Ubiquitous Systems, January, 2005, pp. 72-78.

@article{Nourbakhsh_2005_4960,
   author = "Illah Nourbakhsh and Katia Sycara and Mary Koes and Mark Yong and Michael Lewis and Steve Burion",
   title = "Human-Robot Teaming for Search and Rescue",
   journal = "IEEE Pervasive Computing: Mobile and Ubiquitous Systems",
   month = "January",
   year = "2005",
   pages = "72-78"
}