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Human-Robot Teaming for Search and Rescue

Illah Nourbakhsh, Katia Sycara, Mary Koes, Mark Yong, Michael Lewis, and Steve Burion
IEEE Pervasive Computing: Mobile and Ubiquitous Systems, January, 2005, pp. 72-78.

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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.

Notes

Sponsor: NSF Grant ID: IIS-0205526 Associated Center(s) / Consortia: Center for Integrated Manfacturing Decision Systems Associated Lab(s) / Group(s): Intelligent Software Agents Associated Project(s): Urban Search and Rescue Number of pages: 7

Text Reference

Illah Nourbakhsh, Katia Sycara, Mary Koes, Mark Yong, Michael Lewis, and Steve Burion, "Human-Robot Teaming for Search and Rescue," IEEE Pervasive Computing: Mobile and Ubiquitous Systems, January, 2005, pp. 72-78.

BibTeX Reference

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