As the Internet of Things (IoT) and AI (Artificial Intelligence) technology advances with leaps and bounds, technology leaders present new use cases for tomorrow's industry. Integrating Automated Guided Vehicles (AGVs) with IoT and AI allows for real-time monitoring and control of the robotic transport of materials and products. By using sensors and data analytics, manufacturers can optimise the routing and scheduling of AGVs, reducing the time and effort required for inter-facility logistics. However, today's AGVs are often programmed to follow a specific route or set of instructions, which can make them inflexible in adapting to unexpected obstacles.

The time when artificial intelligence (AI) was limited to labs and research groups is long gone. Its widespread presence in the internet-related industry (search engines, social networks, e-commerce) is now obvious to practically everyone, and we can no longer imagine the IT world without it. Today, the application of AI has spread to all kinds of industries, including those where reliability and safety are critical, and where strict regulations apply. And since quality assurance (QA) is an essential contributor to safety, it has become necessary to develop QA and regulatory frameworks for higher risk AI applications.

Every particle accelerator must have a commanding system that controls and monitors hundreds of various devices and subsystems with sub-microsecond synchronisation. Good architecture and design is the key to building modular, scalable, maintainable, and testable software. This is especially true for large systems such as control systems for accelerators which require high uptime, reliability and scalability for long term operation and future upgrades. Therefore, the accelerator control system (ACS) is an extensive and complex piece of software that must supervise the correct and safe performance of all devices integrated into the machine. The system has to guarantee dependability, stability and performance. It must also be extensively modular and configurable to meet new current and especially future demands.