Future Directions in Autonomous Industry, Edge Intelligence, and Smart Infrastructure

Abstract

The evolution of autonomous systems is reverberating through all industry sectors. Autonomous Industrial Systems represent the evolution of the current “Automated Industry,” towards systems that operate independently, supported by continuous edge decision making and learning. Beyond control, orchestration of complex industrial-level processes can enable large-scale decision making based on a continuous market and regulations signals: without a centralized operator, such processes can operate independently. Autonomy also extends to “Smart Infrastructures” that enable the smart detection and connectivity of constituents and their connections to support the edge processing and decentralized decision making. The self-organization characteristics of these systems shall drive the market towards more the large-scale deployment of both connecting infrastructures and industry. The cross-regulatory nature of these systems requires an orchestration approach for the provision of interdependent services from numerous operators along a supply chain. Therefore, the direction of future development lies in the growing autonomy of the economy and the evolving edge-driven digital connection of smart infrastructures, service production, and regulation of the resources and ecosystem on which the digital representation relies.