###### Abstract
It also allows the project managers and engineers to prepare a more detailed and accurate safety plan [30]. It also enables the users to execute precise measurements including height, width and depth in the site. It is also possible to make on-site revisions and identify problems using AR. Correcting these errors proactively saves a considerable amount of time for the users. Moreover, augmented reality (AR) technology via wearable devices can be further improved through the adoption of 5D BIM technology. It has the potential to transform the whole construction industry [31]. Using AR, a virtual overlay of a BIM model can be overlapped on the actual construction site and contractors or project managers can compare them on site in real time. [30]. The integration of built environment AR, with real-time data from IoT devices, also presents a unique opportunity for the sector to increase operational efficiencies and support decision-making [33]. The relentless trend in sophisticated automation, sensor deployment, monitoring and control in construction highly increases the potential for IoT applications in the civil engineering sector [35; 36]. The IoT technology enables construction equipment, machinery, structures, etc. to be connected through a central data platform [31; 37]. It is common also the analysis of massive data with tools such as Big Data, Data Analytics, Machine Learning, fed with data that come from infrastructures and buildings in real time using IoT [11; 38]. The mechanics of automation and the applications of sensors have been deeply examined for robotic construction and extensive use of sensors [39; 40], despite the fact that their teaching in civil engineering schools is not still widely spread [35]. Sensors on site can be effectively deployed for the safety of the workers through monitoring temperature, dust particles, noise levels, etc. and limiting workers' exposure to them [30]. Nevertheless, sensors technology is usually used for a more general reason in this sector: to monitor productivity and reliability through tracking all the relevant movements in the construction site. Once sufficient amount of data is collected through sensors, AI can analyze the data and provide solutions to rearrange the equipment and materials in order to make them more accessible to workers and increase efficiency [41]. AI and autonomous drones are also adopted for real-time monitoring of the construction site progress in order to increase the productivity, evaluate the quality and decrease downtime [30; 41]. Deep-learning algorithms are then applied to identify any kind of errors in the executed work. AI also recognizes the deviations between the installed components and the actual work with models so the errors can be determined instantly and the high costs of a rework is avoided. In addition, through AI and machine learning, companies can put the data they have collected throughout the years to use in order to predict how projects will work out, and therefore better estimate and bid on construction projects [30]. Robotics systems are capable of transforming the construction industry, presenting numerous advantages for the sector [42]. In the near future, robots are expected to become one of the dominant technologies in the construction sector with their offering of accuracy and precision [31; 42; 43]. The robotic systems which are commonly being used in the sector nowadays are single task construction robots (STCRs). They carry out a single task repetitively [30; 44] and this task is only a simple one. Nevertheless, once they are set up, they can work non-stop without needing a break and help the workers to complete the task more quickly. Some examples are bricklaying robots [45; 46], rebar tying robots [45], painting robots [47] and concrete spraying robots [48]. In these examples, human intervention is needed to set up the robot, to place it correctly, to start the system, to clean it up, to oversee the performed work, etc. [30; 44].