Introduction
Advancements in technology have led to complex computer systems that have revolutionized the construction industry. Artificial intelligence (AI) and robotics are some of the technological advances that have helped solve construction projects and management activities. AI involves the simulation of human intelligence in machines and computer programs (Sagdic et al., 2022).
On the other hand, robots are computerized machines, including AI, to carry out complex activities (Sagdic et al., 2022). Heavy lifting, demolitions, and welding are some of the risky construction activities done by robots and AI. Therefore, in the context of the construction industry, AI has informed the development and design of robots with the capabilities of conducting risky and complex activities.
The Role of Advanced Technology in the Construction Sector
Robots and AI benefit the construction industry, making their application worthy. The technologies are associated with improved and increased productivity (Huseien & Shah, 2021). For instance, designing building layouts can be a difficult task for architects and construction managers. However, with the use of AI and robots, more accurate layouts and maps can be produced (Huseien & Shah, 2021).
Additionally, the technologies have helped in saving the lives of construction workers who operate in risky areas. Robots have been used in demolishing buildings that would otherwise be risky to workers. Furthermore, there is increased safety for residents who occupy new buildings since the technologies ensure quality and risk management. Integration of AI and robots into the construction industry has led to improved quality and safety.
The construction industry involves a wide range of professions, including engineers and surveyors, among others. The majority of activities conducted in a construction site can be done by AI and automated robots. For instance, land surveying, welding, mapping, and demolition, among other activities, can be executed by robots and other automated systems.
Although automation and robotics are likely to replace some construction workers, complete replacement is unlikely (Kanangkaew et al., 2023). The automation would be limited due to the wide range of skills needed in the construction industry. Simple manual activities are unlikely to be done by robots and AI since the costs and complexity of the technologies may be unviable compared to the costs of hiring humans.
There is a wide range of AI and robotic technologies that are integrated into the construction industry. Building information modeling (BIM) is one of the most widespread AI technologies. BIM utilizes complex systems that simulate human intelligence to provide architects, engineers, and contractors with 3-D construction models (Kanangkaew et al., 2023). The technology transformed the traditional use of manual construction plans and models. Moreover, BIM has been associated with more accuracy and effective communication than traditional construction approaches. BIM has, therefore, transformed the construction industry for the better.
Conclusion
Looking forward to the future, there is a need for more advanced and accurate AI and robotic systems that enhance human safety, especially for the residents of constructed buildings. A technology that automatically detects the danger of natural disasters such as earthquakes and instantly sends a warning to building occupants can be quite helpful.
The technology will enhance the safety of buildings that are constructed on lands that are vulnerable to earthquakes. The needed technology is not available due to the intense research and resources needed to develop it. For instance, understanding rock movements requires many years of research on seismic waves. Additionally, more complex systems are needed to enable the technology, requiring further improvements on the current AI and robotic systems.
References
Huseien, G. F., & Shah, K. W. (2021). A review on 5G technology for smart energy management and smart buildings in Singapore. Energy and AI, 7. Web.
Kanangkaew, S., Jokkaw, N., & Tongthong, T. (2023). A real-time fire evacuation system based on the integration of Building Information Modeling and augmented reality. Journal of Building Engineering, 67. Web.
Sagdic, K., Eş, I., Sitti, M., & Inci, F. (2022). Smart materials: Rational design in biosystems via artificial intelligence. Trends in Biotechnology, 40(8), 987–1003. Web.