In fact, optimizing path within short computation time still remains a major challenge for
mobile robotics applications. In path planning and obstacles avoidance, Q-Learning (QL) …

Automated guided vehicles (AGVs) are a key technology to facilitate flexible production
systems in the context of Industry 4.0. This paper investigates an optimization model and a …

This work addresses task planning under uncertainty for precision agriculture applications
whereby task costs are uncertain and the gain of completing a task is proportional to …

The rapid development of Internet of Things (IoT) attracts growing attention from both
industry and academia. IoT seamlessly connects the real world and cyberspace via various …

In the era of Industry 4.0, as the main force of intelligent logistics systems, multi-Automated
Guided Vehicle (AGV) systems have developed rapidly. At present, multi-AGV systems are a …

This paper deals with the problem of the collaborative map** of unknown indoor
environments by a homogeneous mobile robot team. For this aim, a distributed multi-agent …

The objective of this paper is to describe and validate a multi-agent architecture proposed to
control RFID Cyber-Physical Robotic Systems. This environment may contain human …

Field-deployed robotic fleets can provide solutions that improve operational efficiency,
control operational costs, and provide farmers with transparency over day-to-day scouting …

This paper deals with fault-tolerance and formation control problems for homogeneous
mobile robots under leader/follower failures by using the multi-agent paradigm. These …

The industrial cloud robotics (ICR) has the characteristics of intelligence, reliability, and
scalability. In the smart manufacturing environment, ICR can be encapsulated as services …