In the last years, Multi-Robot Systems (MRS) have experienced considerable recognition
due to various possible real-world applications. Multi-Robot Task Allocation (MRTA) is …

Abstract Purpose of Review Task allocation using a team or coalition of robots is one of the
most important problems in robotics, computer science, operational research, and artificial …

Unmanned aerial vehicles (UAVs) require pre-planned flight paths that are energy-efficient,
safe and smooth across their wide range of application scenarios. In this study, a novel UAV …

Abstract Unmanned Aerial Vehicle (UAV) swarms are attracting more and more research
attention due to their low cost and high efficiency. Task allocation is a highly important …

This paper presents a novel graph reinforcement learning (RL) architecture to solve multi-
robot task allocation (MRTA) problems that involve tasks with deadlines and workload, and …

Task allocation is a key combinatorial optimization problem, crucial for modern applications
such as multi-robot cooperation and resource scheduling. Decision makers must allocate …

Response-threshold methods stand out among the different developed swarm-like
methodologies that address the task allocation problem, which must be faced in multi-robot …

Efficient multi-robot task allocation (MRTA) is fundamental to various time-sensitive
applications such as disaster response, warehouse operations, and construction. This paper …

Complex, multi-task missions require the coordination of heterogeneous robots at multiple
inter-connected levels, such as coalition formation, scheduling, and motion planning. This …