Multi-robot systems (MRS) are a reference solution for many prominent real-world
applications, eg management of warehouses or exploration of unknown environments. One …

Autonomy in multi-robot systems is bounded by coordination among its agents. Coordination
implies simultaneous task decomposition, task allocation, team formation, task scheduling …

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 …

Existing approaches to multirobot coordination separate scheduling and task allocation, but
finding the optimal schedule with joint tasks and spatial constraints requires robots to …

Abstract Multi-Robot Task Allocation (MRTA) is an important area of research in autonomous
multi-robot systems. The main problem in MRTA is to match a set of robots to a set of tasks …

Many application domains require search and retrieval, which is also known in the robotic
domain as foraging. For example, in a search and rescue domain, a disaster area needs to …

Multi-robot systems (MRS) are a group of robots that are designed aiming to perform some
collective behavior. By this collective behavior, some goals that are impossible for a single …

Multi-agent systems have received a tremendous amount of attention in many areas of
research and industry, especially in robotics and computer science. With the increased …

Multi-robot planning (mrp) aims at computing plans, each in the form of a sequence of
actions, for a team of robots to achieve their individual goals, while minimizing overall cost …

Multi-robot task allocation problems where robots have to move to target destinations arises
in a number of applications including search and rescue, goods or parts transfer in …