The emergence of the Internet of things and the widespread deployment of diverse
computing systems have led to the formation of heterogeneous multi-agent systems (MAS) …

Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …

In this work, we introduce SMART-LLM, an innovative framework designed for embodied
multi-robot task planning. SMART-LLM: Smart Multi-Agent Robot Task Planning using Large …

In many missions, multiple robots need to cooperate to complete tasks. The workflow of
these multi-robot tasks involves forming coalitions of robots, assigning them to available …

In large-scale natural disasters, humans are likely to fail when they attempt to reach high-risk
sites or act in search and rescue operations. Robots, however, outdo their counterparts in …

For the logistics environment, multi-UAV algorithms have been studied for the purpose of
order picking in warehouses. However, modern order picking adopts static order picking …

Context: Robots can potentially collaborate to execute a variety of tasks in the service robots
domain. However, developing applications of service robots can be complex due to the high …

Let's imagine a swarm of drones that has to visit some locations and build a map in a
disaster area. Let's assume the drones only can communicate to their neighbors and …

This work explores the potential of game theory to solve the task allocation problem in multi-
robot missions. The problem considers a swarm with dozens of drones that only know their …

The ever-changing environment and complex combat missions create new demands for the
formation of mission groups of unmanned combat agents. This study aims to address the …