## 1 Introduction
On the other hand, thanks to the modern capabilities of communication technologies, high-class specialists and experts can cooperate within different teams, including creating interdisciplinary teams focused on the development of new technologies, products, and services [11]. Therefore, in this paper, the authors have proposed the integration of design and production processes on the basis of cooperation of specialists who are far away from each other and perform their tasks on the basis of a dispersed heterogenous design and production environment. This article focuses on one of the stages of product development, namely the rapid prototyping process. A unique feature of this process is the flexibility of the working environment of the team, which in many cases must be built on an ad hoc basis in order to meet current needs. These needs are met by the possibility of integrating individual elements that form the prototyping environment through dispersed IT systems. From the point of view of the remote work of the distributed prototyping system, this process has been called remote distributed rapid prototyping (RDRP), it has been described in [12]. Initially, the main resources that were integrated in the RDRP process were people. They cooperated remotely in the area of developing ideas, projects, or CAx (various Computer Aided systems) projects [13]. The efficient use of human resources does increase the quality of projects. An exemplary analysis of this issue was presented in [14], referring to the Cooperation on Manufacturing IT Project. However, the growing popularity of IoT and IoE solutions [15; 16; 17; 18] enforced the need to add more resources, such as cameras, measuring systems, specialized laboratory workstations, etc., to the remote prototyping infrastructure. The process of the development of these systems is presented in Figure 1. As can be observed, the next stage of evolution are so-called cyber-human systems (CHS) [19; 20; 21]. At first, research on these types of systems was carried out in order to use the possibilities of technology (mainly information technology) for the purpose of increasing human capabilities. In this article the authors developed this concept and defined it as a system integrating human and computer resources in order to increase the potential of developing and producing a new product. These systems include solutions in which IT tools support the decision-making of employees at the manufacturing stage. These systems can be regarded as an evolution of CHS systems, in which a man and a machine can be seen, from a process point of view, as equal resources and the flow of data, and then information, contributes to the knowledge which enables more accurate decisions in terms of design and manufacturing efficiency. From this perspective all resources represent a valuable source of information and can contribute to the optimization of the prototyping process while IT systems, including artificial intelligence, machine systems, or other advanced solutions, support this process. At this very moment we are on the borderline between cyber-human RDRP systems and IoE RDRP systems and it is not easy to indicate the full implementation of the entire IoE RDRP process. Further analyses of remote prototyping systems, performed to illustrate the current state of knowledge, have shown that currently available systems usually have a rather static architecture dedicated to solving one class of problems [22; 23; 24], or take the form of extensive conference systems [25]. In this paper [26], a cloud-based remote virtual prototyping platform for embedded control applications was proposed, which allows one to prototype application code for a large number of users with the use of simulators. Similar solutions can be found in [27]. Both solutions are designed mainly for didactic purposes. [PERSON] et al. [28] presents a remote audio digital signal processing prototyping system with the ability to verify the obtained effects on remote or locally connected PYNQ systems-on-chip (SoCs). [PERSON] et al.