John Oyekan

TL;DR: The case is made for smart factory adoption of VR DES as a new platform for scenario testing and decision making, and further research is required in the areas of lower latency image processing, DES delivery as a service, gesture recognition for VR DES interaction, and linkage of DES to real-time data streams and Big Data sets.

TL;DR: This paper presents the use of a Virtual Reality digital twin of a physical layout as a mechanism to understand human reactions to both predictable and unpredictable robot motions and validate the effectiveness of the Virtual Reality environment.

TL;DR: The relevance of the following key Industry 4.0 technologies to construction: data analytics and artificial intelligence, robotics and automation, building information management, sensors and wearables, digital twin, and industrial connectivity is discussed.

TL;DR: Results show that this platform could enable teams to remotely work on a common engineering problem at the same time and also get immediate feedback from each other making it valuable for collaborative design, inspection and verifications tasks in the factories of the future.

TL;DR: This article proposes to deploy a group of mobile sensor agents to cover a polluted region so that they are able to retrieve the pollutant distribution using a distributed locational optimising algorithm (centroidal Voronoi tessellation).