Human-robot teaming for search and rescue

By H. U M A N-R O B O T I N T E R A C T I O N, Illah Reza Nourbakhsh, Katia P. Sycara, Mary Koes, Mark Yong, Michael Lewis, Steve Burion. IEEE pervasive computing, 2005

319 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/bc1fc8e05cd1814bf3eaa89821cf39e3f94ff72d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Enrico Natalizio
2. Milan Erdelj

In Control and Systems Engineering

1. Enrico Natalizio
2. Milan Erdelj

Citations in the corpus

• UAV-assisted disaster management: Applications and open issues (2016, methodology): “An architecture for urban SAR and a methodology for mixing real-world and simulation-based testing, where a sensor suite and sensor fusion algorithm for victim detection permits aggregation of sensor readings from various sensors on multiple robots is provided in [23].”
• Wireless Sensor Networks and Multi-UAV systems for natural disaster management (2017, methodology): “present an architecture for Urban SAR and a methodology for mixing real-world and simulationbased testing, where a sensor suite and sensor fusion algorithm for victim detection permits aggregation of sensor readings from various sensors on multiple robots [52].”