From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …

Swarm Robotics (SR) is an extension of the study of Multi-Robot Systems that exploits
concepts of communication, coordination and collaboration among a large number of robots …

We propose a distributed approach to solve the multi-robot task allocation problem. This
problem consists of two distinct sets: robots and tasks. The objective is to assign tasks to …

In intelligent warehouse picking system, the allocation of tasks has an important influence on
the efficiency of the whole system because of the large number of robots and orders. The …

Task allocation is a key issue in multi-agent systems, and finding the optimal strategy for task
allocation has been proved to be an NP-hard problem. Existing task allocation methods for …

In this paper, a modified centralized algorithm based on particle swarm optimization
(MCPSO) is presented to solve the task allocation problem in the search and rescue domain …

In Industry 4.0 compatible workshops, the demand for Automated Guided Vehicles (AGVs)
used in indoor logistics systems has increased remarkably. In these indoor logistics systems …

Swarm robotics is an emerging interdisciplinary field that has many potential real-world
applications. Swarm robotics aims to produce robust, scalable, and flexible self-organizing …

Swarm robotic systems comprising members with limited onboard localization capabilities
rely on employing collaborative motion-control strategies to successfully carry out multi-task …

This paper focuses on the order batching problem, aiming at this order batching problem of
an ecommerce unmanned warehouse multi-robot picking system, considering the …