The International Association for Automation and Robotics in Construction
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Abstract: The $10 trillion global construction industry has traditionally been a labor-intensive industry, yet it stands to benefit from autonomous robots that promise to deliver construction work that is more accurate and efficient compared to manual or conventional methods. However, the integration of automation and robotic technology into the construction workplace ...
Abstract: This paper presents a pioneering pilot within the FORTIS EU project, aimed at enhancing the integration of autonomous heavy-duty robots in construction environments. The pilot has been established to assess the potential of these robots to revolutionise industry standards, specifically in tasks involving transportation and assembly. The paper offers insights ...
Abstract: Collaborative work of robots and workers faces several challenges during 3D printing process in the construction industry. In this regard, implementing deep learning-based detection algorithms represents a promising technology to improve construction tasks in dynamic robot-worker interaction environments in 3D printing applications. However, the visual perception of the environment with ...
Abstract: This paper presents an ongoing project of designing and prototyping a multi-functional robotic cell for the fabrication of exterior retrofit panels. To address the cost and labor-intensive challenges in producing customized retrofit panels, we first conduct a simulation-based study to evaluate the feasibility of introducing robotic technologies into the fabrication ...
Abstract: Construction processes involving placement of heavy construction elements are high-risk activities. Typically, these activities are carried out by a team of masons using a lifting device (such as a crane). Following the technological development of other industries, there have been several attempts in construction to use robots for risky activities. ...
Abstract: This study introduces an innovative framework that employs Large Language Models (LLMs) to enhance task allocation by seamlessly integrating construction robots and human users. The LLM contains key data about the task, such as agent capabilities, as well as details of the end goal to be achieved. An efficient allocation ...
Abstract: Humanoid robots offer significant potential in various industries, including construction, where they can address inefficiencies and safety concerns. However, integrating them faces challenges like economic feasibility and technical limitations. Simulation plays a vital role in assessing humanoid performance. This paper compares human and humanoid welders in a simulation of welding ...
Abstract: Excavators are crucial for diverse tasks such as construction and mining, while autonomous excavator systems enhance safety and efficiency, address labor shortages, and improve human working conditions. Different from the existing modularized approaches, this paper introduces ExACT, an end-to-end autonomous excavator system that processes raw LiDAR, camera data, and joint ...
Abstract: The need for improvements in roadway work zone safety becomes increasingly pressing, with continuous accidents/incidents reporting around a thousand fatalities in the United States in 2021 alone. Though rare, efforts that lead to a deeper understanding of worker behaviors around work zones are necessary to increase safety of workers. Unlike ...