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 mini-review of human-robot collaboration (HRC) in the construction industry, synthesizing key findings from the literature. The paper outlines the development of construction robotics, the current applications of HRC, the issues identified, and the factors affecting the adoption of HRC in construction. Furthermore, it discusses the future ...
Abstract: In hazardous and uncertain sites, teleoperation is often utilized to execute scheduled procedures from a safe location. A visualization interface, which provides the remote operator with visual information to enhance spatial awareness, is essential to understand site information and receive feedback from the robot. To be effective, the interface must ...
Abstract: Teleoperation is critical to accomplish the mission of building planetary habitats and exploring space. However, time delay in long-distance remote-control conditions is inevitable, and it affects operators' performance and mental workload by degrading control accuracy and situational awareness. We developed virtual environments to evaluate the performance and mental workload in ...
Abstract: In this paper, we present a multimodal localization system for construction robotics operated in job sites where visual simultaneous localization and mapping (VSLAM) algorithms can yield inaccurate and inconsistent results due to environmental factors such as insufficient textures, occlusion, and unstable lighting conditions. The system integrates Ultra-Wideband (UWB) ranging and ...
Abstract: Thermal Point Clouds (TPCs) can provide valuable information during the inspection and assessment of the performance of buildings and for energy auditing; however, it faces two issues regarding data: scanning time and redundancy optimization. The use of continuous and discrete scanning paths can decrease collection times, and the automation of ...
Abstract: Recent developments in deep learning have enabled reinforcement learning (RL) methods to drive optimal policies for a sophisticated high-dimensional environment, which is suitable to overcome the challenges of implementing on-site construction robots, such as the dynamic nature of the construction environment and inherent complexity to solve the multiple decision-makers interacting ...
Abstract: Construction automation is vital for increasing efficiency, reducing costs, and enhancing safety in the industry. In this paper, we present our latest advancements in autonomous excavator systems (AES) specifically designed for earth moving operations in construction sites. Our proposed architecture integrates perception, planning, and control by merging multi-modal perception sensors ...