In real-world applications, multiple robots need to be dynamically deployed to their
appropriate locations as teams while the distance cost between robots and goals is …

Multi-robot systems require efficient and accurate planning in order to perform mission-
critical tasks. This paper introduces a mixed-integer linear programming solution to …

Dealing with uncertainties along with high-efficiency planning for task assignment problem
is still challenging, especially for multi-agent systems. In this paper, two frameworks …

Purpose This paper aims to present a concise review on the variant state-of-the-art dynamic
task allocation strategies. It presents a thorough discussion about the existing dynamic task …

This letter considersa particular class of multi-robot task allocation problems, where tasks
correspond to heterogeneous multi-robot routing problems defined on different areas of a …

Task allocation is an important problem in multi-robot system which can be defined with
different setup for different application, ie coverage, surveillance and mining mission in static …

The objective of multirobot task allocation (MRTA) is to assign tasks to robots to minimize the
overall cost of task performance. This paper proposes a decentralized MRTA approach …

Artificial intelligence-enhanced autonomous unmanned systems, such as large-scale
autonomous robot networks, are widely used in logistic and industrial applications. In this …

Multi-robot navigation is a challenging task, especially for many robots, since individual
gains may more often than not adversely affect the global gain. This paper investigates the …

This paper proposes an algorithm that provides operational strategies for multiple
heterogeneous mobile robot systems utilized in many real-world applications, such as …