## 1 Introduction  
Nowadays, the field of remote handling (RH) integrates many technical fields (electronics, communications, control, computer vision, artificial intelligence, augmented reality, etc. ), and all of them, in general, work synergistically. Currently, there are outstanding new fields that add intelligence to RH robots; this is something very interesting because it simplifies the traffic and criticality of the information exchanged from/towards the operator, letting the robot act on its own [1]. Moreover, if we were able to model how the best operator carries out a series of complex tasks, we could reduce task times and human error risks introduced due to fatigue, boredom, or lack of experience. These technological advances and others that RH is currently working on have made it possible to achieve great innovations in the nuclear fusion sector. Since 1930, scientists and increasingly also engineers have been continuously searching to discover how to recreate and harness nuclear fusion to provide virtually limitless clean, safe, and affordable energy to meet the world's energy demand. Fusion can generate four times more energy per kilogram of fuel than fission, which is used in nuclear power plants, and nearly four million times more energy than burning oil or coal. More than 50 countries have carried out multiple nuclear fusion and plasma physics research, and fusion reactions have been successfully produced in many experiments. Different designs and magnet-based machines have been developed to initiate fusion, like stellarators and tokamaks (this design is under study in this thesis), as well as approaches that rely on lasers, linear devices, and advanced fuels. One of these countries is France, where the world's largest international fusion facility, named ITER, is being designed and manufactured across the world [2]. ITER endeavors to demonstrate the scientific and technological viability of producing fusion energy and validate technology and concepts for future fusion power plants that will generate electricity, referred to as DEMO. ITER will initiate its initial experiments in the latter half of the 2020s, and full-power tests should begin in the latter half of the 2030s [3]. The timeline for DEMO varies among different countries, but experts agree that an electricity-generating fusion power plant could be constructed and operational by 2050. All these facilities have the same problem: the RH control systems will need to be operated from a dedicated remote control room that consists of many modules and technologies that must be operational over the lifetime of the fusion project (estimated at more than 30 years, including initial assembly and final decommissioning in the case of the ITER project). Therefore, the operation and supervision of these RH systems in environments requiring long-term flexibility and safety have increasingly necessitated the adoption of efficient graphical interfaces, prompting the need for a new innovative architecture proposal: Multiple Agent Managerial Intelligent Control (MAMIC). The MAMIC model allows the interaction of these systems with the operator in a unique, fast, and simple manner in response to varying situations and past experiences. Moreover, the repeatability required for industrialization underscores the significant importance of having reference models rather than each implementation being custom-built. Section 2 reviews the evolution of software architecture in recent decades due to the increasing complexity of computing systems and the need to adapt to rapid technological changes and concludes that combining different approaches can lead to more robust architectures, such as those that RH facilities require. Section 3 presents the preliminary stages of the study (requirements and software lifecycle) aimed at developing a proposal for an architecture model that integrates multiple methodologies.