Human Machine Synergies in Intra-Logistics: Creating a Hybrid Network for Research and Technologies

Abstract

Abstract-The purpose of the article is to outline the futuristic vision of Industry 4.0 in intra-logistics by creating a hybrid network for research and technologies thereby providing a detailed account on the research centre, available technologies and their possibilities for collaboration. Scientific challenges in the field of Industry 4.0 and intra-logistics are identified due to the new form of interaction between humans and machines. This kind of collaboration provides new possibilities of materials handling that can be developed with the support of real-time motion data tracking and virtual reality systems. These services will be provided by a new research centre for flexible humanmachine cooperation networks in Dortmund. By the use of various reference and experiment systems various real-time scenarios can be emulated including digital twin simulation concepts. Big data emerges as an important paradigm in this research project where all systems are made flexible in terms of networking for all the systems to consume the data produced and also to combine all the data to arrive at new insights using concepts from machine learning and deep learning networks. This leads to the challenge of finding a common syntax for inter-operating systems. This paper describes the design and deployment strategies of research centre with the possibilities and the design insights for a futuristic Industry 4.0 material handling facility.

A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics

“…Venkatapathy et al and Zeidler et al describe a basic concept of a hybrid network for the usage of human and machine synergies in the intra-logistics. Thereby, they focus on optical reference systems, radio reference systems, laser project systems, virtual reality systems, robot systems, LR-WPAN, and other wireless network systems, and networked computational systems [43,44].…”

“…In this context, decision-relevant information will be automatically collected, aggregated, and pre-analyzed by AI, ML, and DL technologies. In many cases, these hybrid decision-making processes outperform purely rational decision-making processes [42][43][44]58].…”

Production Intralogistics Automation Based on 3D Simulation Analysis

“…The recent "technology push" in the design and introduction of the autonomous production systems, advancement in digitalization, and automation leads to the expansion of new forms of services and work organization [3]. This new forms of services with collaborative machines, human, and transporting equipment such as Automated Guided Vehicles (AGVs) can be simulated to an extent, but they can be comprehensively understood with a level of trust for the adoption into the industry when the same scale experimental studies and demonstrators are established [4]. The combined effects of 3D simulation with the same level of real demonstrator help to make the efficient decisions and improvements of the target processes.…”

LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes

“…In the ’Innovationlab Hybrid Services in Logistics’ at TU Dortmund University, manual processes of a real-world warehouse are replicated on an area of 220 m [ 15 ]. Fourteen individuals carry out picking and packaging activities in three scenarios under real-life conditions.…”

“…Data were recorded in physical set-ups created in a controlled environment—the ’Innovationlab Hybrid Services in Logistics’ at TU Dortmund University [ 15 ]. A group of researchers created the physical replica of warehousing scenarios following a cardboard engineering approach [ 27 , 28 ].…”