Distributed Adaptive Control: An ideal Cognitive Architecture candidate for managing a robotic recycling plant

Autor:	Guerrero-Rosado, Oscar, Verschure, Paul
Rok vydání:	2020
Předmět:	Computer Science - Multiagent Systems Computer Science - Artificial Intelligence Computer Science - Neural and Evolutionary Computing Computer Science - Robotics Electrical Engineering and Systems Science - Systems and Control
Druh dokumentu:	Working Paper
Popis:	In the past decade, society has experienced notable growth in a variety of technological areas. However, the Fourth Industrial Revolution has not been embraced yet. Industry 4.0 imposes several challenges which include the necessity of new architectural models to tackle the uncertainty that open environments represent to cyber-physical systems (CPS). Waste Electrical and Electronic Equipment (WEEE) recycling plants stand for one of such open environments. Here, CPSs must work harmoniously in a changing environment, interacting with similar and not so similar CPSs, and adaptively collaborating with human workers. In this paper, we support the Distributed Adaptive Control (DAC) theory as a suitable Cognitive Architecture for managing a recycling plant. Specifically, a recursive implementation of DAC (between both single-agent and large-scale levels) is proposed to meet the expected demands of the European Project HR-Recycler. Additionally, with the aim of having a realistic benchmark for future implementations of the recursive DAC, a micro-recycling plant prototype is presented. Comment: 12 pages, 2 figures, Living Machines conference 2020
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2012.12586 Zobrazit plný text záznamu View this record from Arxiv