In the multiple fields covered by Artificial Intelligence (AI), path planning is undoubtedly one
of the issues that cover a wide range of research lines. To be able to find an optimal solution …

In the field of mobile robotics, the study of multi-robot systems (MRSs) has grown
significantly in size and importance in recent years. Having made great progress in the …

This paper presents GVGExp, a recurrent-connectivity exploration strategy for multi-robot
systems to discover unknown environments under communication-constrained conditions. A …

In this paper, we consider the issue of transporting a certain number of goods by a team of
mobile robots. The target is to minimize the total transportation time and keep a low energy …

This paper addresses the problem of exploring an unknown environment by a coordinated
team of robots. An important question is, which robot should explore which region? In this …

In this paper we present a novel approach to multi-robot motion planning by using a
probabilistic roadmap (PRM) based on adaptive cross sampling (ACS). The proposed …

Cooperative autonomous exploration is a challenging task for multi-robot systems, which
can cover larger areas in a shorter time or path length. Using multiple mobile robots for …

This paper addresses the problem of tidying up a living room in a messy condition with a
service robot (ie domestic mobile manipulator). One of the key issues in completing such a …

Get Together! Multi-robot Systems: Bio-Inspired Concepts and Deployment Challenges |
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Robotic Exploration has evolved rapidly in the past two decades as new and more complex
techniques have been created to explore unknown regions efficiently. Exciting …