Este artículo presenta una revisión bibliográfica de los algoritmos de aprendizaje
automático utilizados para dar solución a la problemática de los MARS para la PCP …

The advent of smart manufacturing and the exposure to a new generation of technological
enablers have revolutionized the way manufacturing process is carried out. Cyber-Physical …

In this paper, we propose a distributed model predictive control strategy for a team of
vehicles moving in an unknown obstacle scenario. In particular, we combine receding …

Motion planning is a crucial topic with multi-UAV applications of search and rescue
missions, transportation missions, etc. The concerns of motion planning focus on path …

This paper proposes a new navigation approach for mobile agents in AGV (Autonomous
Guided Vehicles)-based flexible manufacturing system. The navigation scheme combines a …

This paper presents a self-learning technique for adapting modular automated assembly
systems. The technique consists of automatically analysing sensor data and acquiring …

In order to deploy AGVs in industry, it is mandatory to consider the tradeoff between
smartness and embeddability. This paper aims at making the manufacturing research …

Multi-agent motion planning is a crucial topic with applications of search and rescue
missions, transportation missions, etc. The concerns of motion planning focus on path …

A method for modifying robot behaviors is introduced to improve robot performance during
the execution of object manipulation tasks. The purpose of this method is to minimize the …

Cette thèse porte sur la navigation d'agents dans un environnement manufacturier. Le cadre
général du travail relève de la navigation d'AGVs (véhicules autoguidés), transportant …