Abstract Purpose of Review Multi-robot exploration—ie, the problem of mapping unknown
features of an environment—is fundamental in many tasks, including search and rescue …

This paper considers the problem of maximizing the number of task allocations in a
distributed multirobot system under strict time constraints, where other optimization …

This paper addresses the complete area coverage problem of a known environment by
multiple-robots. Complete area coverage is the problem of moving an end-effector over all …

The coordinated dynamic task allocation (CDTA) problem for heterogeneous unmanned
aerial vehicles (UAVs) in the presence of environment uncertainty is studied in this paper …

We address the problem of controlling a mobile robot to explore a partially known
environment. The robot's objective is the maximization of the amount of information collected …

Physical sampling of water for off-site analysis is necessary for many applications like
monitoring the quality of drinking water in reservoirs, understanding marine ecosystems, and …

During several applications, such as search and rescue, robots must discover new
information about the environment and, at the same time, share operational knowledge with …

One driving application for multi-robots is source seeking, especially in the hazardous
environment. It consists of two essential subtasks: source location and path search. Nature …

Autonomous robotic exploration of an unknown environment is a key technology for robot
intelligence. In order to improve the efficiency of it, we propose a strategy based on frontier …

We propose a self-organising map (SOM) algorithm as a solution to a new multi-goal path
planning problem for active perception and data collection tasks. We optimise paths for a …