Multi-agent path finding (MAPF) holds significant practical relevance in numerous real-world
applications involving fleets of mobile robots. The efficiency of such systems is directly …

Advances in robot locomotion algorithms, sensor technologies, planning frameworks and
hardware designs have motivated the deployment of robot groups in unstructured …

Multi-Agent Path Finding (MAPF) in crowded environments presents a challenging problem
in motion planning, aiming to find collision-free paths for all agents in the system. MAPF …

Decentralized planning for multi-agent systems, such as fleets of robots in a search-and-
rescue operation, is often constrained by limitations on how agents can communicate with …

Multi-robot system is desired to achieve global cost-efficiency by fully utilizing individual
advantages. For example, leveraging unmanned aerial vehicles'(UAVs') agility for inspection …

We consider a system consisting of multiple mobile robots in which the user can at any time
issue relocation tasks ordering one of the robots to move from its current location to a given …

Abstract MARTINEZ SARMIENTO, Fredy Hernán; ACERO SOTO, Diego Mauricio and
CASTIBLANCO ORTIZ, Mariela. Autonomous navigation strategy for robot swarms using …

Recently, there has been an increased interest in learning based navigation solutions for
robots operating in dynamic environments. Navigation in such environments is particularly …

In this article, a decentralized planning scheme is proposed to determine simultaneously
communication and motion strategies for a team of mobile robots. These robots accomplish …

Autonomous robots have garnered extensive utilization in diverse fields. Among the critical
concerns for autonomous systems, path planning holds paramount importance …