Robotic search and rescue is a challenging yet promising research area which has significant real-world application potentials. In this paper, a survey of multi-robot systems and how they can be implemented in search and rescue operations is presented. In particular, the problems of task allocation, communication, and human-robot interaction in multi-robot systems are explored.

All forms of task analysis rely on the idea that human action can be decomposed, and that the decomposition can be used to reason about what people should do and know to complete a task. With simple technologies, the process of developing an analytic focus was readily tractable. The allocation of function among people in a team and between people and technology was straightforward. Tasks were t...

Because it involves theoretical latencies that are unbounded, and practical latencies that are large, dynamic resource allocation poses di cult problems for all real-time systems. Control applications, where the task environment and range of possible computations are both highly constrained, can solve this problem using static allocation, with all allocation occurring outside of the realtime co...

Several studies have reported that task instructions influence eye-movement behavior during static image observation. In contrast, during dynamic scene observation we show that while the specificity of the goal of a task influences observers' beliefs about where they look, the goal does not in turn influence eye-movement patterns. In our study observers watched short video clips of a single ten...

One of most important aspects in the design of multi-robot systems is the allocation of tasks among the robots in a productive and efficient manner. Task allocation methodologies must ensure that not only the global mission is achieved, but also the tasks are well distributed among the robots. An effective task allocation approach considers the available resources, the entities to optimize (tim...

We consider the multi-robot task allocation (MRTA) problem in an initially unknown environment. The objective of the MRTA problem is to find a schedule or sequence of tasks that should be performed by a set of robots so that the cost or energy expended by the robots is minimized. Existing solutions for the MRTA problem mainly concentrate on finding an efficient task allocation among robots, wit...

In multi-robot systems, predefined task allocation and coordination may not always work as desired. This is due to the inability to entirely model all aspects of the robot’s interactions with the environment before task execution. Robots with limited capabilities also present the challenge of how their limited resources should be utilised to achieve the objectives of the global task. This paper...

In Distributed Processing System (DPS), partitioning of the application software into small tasks and the proper mapping of these tasks among processors are one of the important parameter which determine the efficient utilization of available Processor’s Capacity. The model discussed here performs static task mapping/ allocation of a set of ‘m’ tasks of a program to a set of ‘n’ processors (whe...

cloud computing refers to services that run in a distributed network and are accessible through common internet protocols. it merges a lot of physical resources and offers them to users as services according to service level agreement. therefore, resource management alongside with task scheduling has direct influence on cloud networks’ performance and efficiency. presenting a proper scheduling ...

Aiming at the task allocation in multi-target tracking of wireless sensor networks, the discrete particle swarm optimization based on nearest-neighbor is presented to reduce the communication energy consumption between nodes. First, task allocation is initialized with nearest neighbor algorithm. Then the fitness function is compared through change task allocation matrix to achieve task allocati...