This paper provides a review of research on robotics in crises, disasters, and crisis
management, and identifies research gaps and directions for future research. The paper …

When attempting to determine how to respond optimally to a large-scale emergency, the
ability to predict the consequences of certain courses of action in silico is of great utility …

During a major incident, the emergency services work together to ensure that those
casualties who are critically injured are identified and transported to an appropriate hospital …

The exploration of an unknown environment by a robot system (an individual robot or a team
of robots) is a well-studied problem in robotics. This problem has many applications and …

Crisis is an infrequent and unpredictable event which is challenging to prepare and resolve.
Serious-game approach proved to provide potential support in training and simulating event …

With the advances in wireless communications large scale Wireless Sensor Networks
(WSN) are emerging with many applications. These networks are deployed to serve single …

A crisis is an infrequent and unpredictable event. Training and preparation process requires
tools for representation of crisis context. Particularly, crisis events consist of different …

In this paper, we introduce an approach for designing and deploying organizations on large
scale Multi-Agent Robotic Systems. Lying on the well-known organizational meta-model …

Abstract Agent-Based Modelling has now become a relevant and recognized paradigm to
design integrated models of complex systems such as socio-environmental systems. The …

Agent-Based Modelling has now become a relevant and recognized paradigm to design
integrated models of complex systems such as socio-environmental systems. The MAELIA …