Description
Date depot: 26 janvier 2021
Titre: Context-Aware Information Gathering and Processing Towards Supporting Autonomous Systems in Industry 4.0 Scenarios
Directeur de thèse:
Thomas WATTEYNE (Inria-Paris (ED-130))
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Systèmes et réseaux
Resumé: Industry 4.0 refers to the transformation of industrial processes through digitalization and automation where multiple heterogeneous devices collaborate with each other, to autonomously complete tasks. This report highlights the aim of this thesis, which is to improve autonomous systems capabilities through developing mechanisms to quickly and efficiently gather and process contextual information from heterogeneous distributed sources, and convert it into knowledge that influences the actions they collectively take, in a manner that can improve their performance in fulfilling their tasks. In order for robots to collect data, they must be able to navigate, Hence, we developed a simulator to simulate the navigation and mapping of a swarm of robots, to evaluate the performance of various navigation algorithms studied, as well as how they perform under limited communications, in order to then be used to simulate and study the partition and communication of large amounts of data between the robots. The simulator has two official releases explained in detail in the report. This report also provides an explanation as to why not all objectives for the year were met, as well as a breakdown of the plan for the remainder of the PhD.
Doctorant.e: Abu-Aisheh Razanne