Multi-agent systems and multi-robot systems have been recognized as unique solutions to
complex dynamic tasks distributed in space. Their effectiveness in accomplishing these …

The paper presents multi-objective optimization technique for the exploration of unknown
space. Exploration refers to the building of an estimated finite map of the environment using …

Robotic solutions for quick disaster response are essential to ensure minimal loss of life,
especially when the search area is too dangerous or too vast for human rescuers. We model …

Groups of robots can be tasked with identifying a location in an environment where a feature
cue is past a threshold, then disseminating this information throughout the group–such as …

This paper presents a multiagent cooperative search algorithm for identifying an unknown
number of targets. The objective is to determine a collection of observation points and …

Multiple robotic systems, working together, can provide important solutions to different real-
world applications (eg, disaster response), among which task allocation problems feature …

Swarm robotic search aims at searching targets using a large number of collaborating
simple mobile robots, with applications to search and rescue and hazard localization. In this …

Adaptive information-sampling approaches enable efficient selection of mobile robots'
waypoints through which the accurate sensing and mapping of a physical process, such as …

Teams of autonomous mobile robots have potential to contribute to surveillance as well as
search and rescue operations. Larger and more complex disaster scenarios with high …

Cooperative search is a fundamental task for the unmanned aerial vehicles (UAVs), and
cognitive maps are necessary resources for the entire search process. However, due to the …