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Carnegie Mellon Robotics Institute

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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.

Keywords

urban search and rescue, robots, agents

Notes

Sponsor: NSF

Grant ID: Los Alamitos, CA

Associated Center(s) / Consortia: Center for Integrated Manfacturing Decision Systems

Associated Lab(s) / Group(s): Advanced Agent - Robotics Technology Lab

Associated Project(s): Urban Search and Rescue

Number of pages: 7

Text Reference

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

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