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Abstract
Recent population migrations have led to numerous accidents and deaths. Little research has been done to help migrants in their journey. For this reason, a literature review of the latest research conducted in previous years is required to identify new research trends in human-swarm interaction. This article presents a review of techniques that can be used in a robots swarm to find, locate, protect and help migrants in hazardous environment such as militarized zone. The paper presents a swarm interaction taxonomy including a detailed study on the control of swarm with and without interaction. As the interaction mainly occurs in cluttered or crowded environment (with obstacles) the paper discussed the algorithms related to navigation that can be included with an interaction strategy. It focused on comparing algorithms and their advantages and disadvantages.
Highlights
The study of mobile robots swarm has reached a high level of maturity including human-swarm interaction (HSI) [1]
Unlike most existing robotic systems, swarm robotics bear a very large number of robots and promote scaling, which implies that the swarm must work regardless of its size
Swarms of robots can have many purposes depending on their ability to achieve a task. All of these tasks and actions can be done if a swarm is able to move itself into the environment of its mission
Summary
The study of mobile robots swarm has reached a high level of maturity including human-swarm interaction (HSI) [1]. Unlike most existing robotic systems, swarm robotics bear a very large number of robots and promote scaling, which implies that the swarm must work regardless of its size (from a certain minimum size). Their number varies from fifty to a hundred robots. The redundancy of perceived information promotes the stability and robustness of the system This implies the capacity of the swarm to continue to function despite the failures of certain individuals composing it and/or the changes that may occur in the environment. The swarm is able to adapt in a better way to its environment compared to an external disturbance This flexibility implies a capacity to propose solutions suitable for the tasks to be carried out. Some issues arise as the number of sensors and data limit the capacity to analyze and find an analytical solution
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