In the numerous existing studies dealing with multi-agent robot systems, the systems are
positioned on the crossover area of robotics and distributed autonomous systems. Multi …

The rapid introduction of sophisticated computers, services, telecommunications systems,
and manufacturing systems has caused a major shift in the way people use and work with …

Multiagent reinforcement learning for multi-robot systems is a challenging issue in both
robotics and artificial intelligence. With the ever increasing interests in theoretical …

In the context of heterogeneous multirobot teams deployed for executing multiple tasks, this
article develops an energy-aware framework for allocating tasks to robots in an online …

Programming the behavior of multi-robot systems is a challenging task which has a key role
in developing effective systems in many application domains. In this paper, we present Petri …

This letter presents a resilient mechanism to allocate heterogeneous robots to tasks under
difficult environmental conditions such as weather events or adversarial attacks. Our primary …

For multi-robot teams with heterogeneous capabilities, typical task allocation methods
assign tasks to robots based on the suitability of the robots to perform certain tasks as well …

This paper presents a survey on multi‐agent system (MAS) capabilities in control
engineering applications. It describes essential concepts of multi‐agent systems that are …

Within a group of cooperating agents the decision making of an individual agent depends on
the actions of the other agents. In dynamic environments, these dependencies will change …

Dynamic task allocation (DTA) is a key feature in collaborative robotics. It affects
organizations' profits and allows agents to perform more tasks when efficiently designed …