Recent advancements in autonomous mobile robots (AMRs), such as aerial drones, ground
vehicles, and quadrupedal robots, have significantly impacted the fields of infrastructure …

Cooperative multi-agent systems make it possible to employ miniature robots in order to
perform different experiments for data collection in wide open areas to physical interactions …

This letter presents a novel multi-robot task allocation and path planning method that
considers robots' maximum range constraints in large-sized workspaces, enabling robots to …

This article investigates the multi-vehicle task assignment and motion planning (MVTAMP)
problem. In a dense environment, a fleet of non-holonomic vehicles is appointed to visit a …

In this work we study a well-known and challenging problem of Multi-agent Pathfinding,
when a set of agents is confined to a graph, each agent is assigned a unique start and goal …

In this work, we consider a 'cooperative'multi-agent Markov decision process (MDP)
involving m (> 1) agents. At each decision epoch, all the m agents independently select …

To enhance the operational safety and efficiency of aircraft under uncertain or unknown
flight intentions, a decision-making framework based on Markov Decision Processes with …

In this paper, in order to enhance the autonomous operation capabilities of aircraft and
ensure their operational safety and efficiency, we propose an autonomous decision-making …

In this work, we consider acooperative'multi-agent Markov decision process (MDP) involving
m greater than 1 agents, where all agents are aware of the system model. At each decision …

The challenge of efficient target searching in vast natural environments has driven the need
for advanced multi-UAV active search strategies. This paper introduces a novel method in …