Since there is a growing interest in driving the digital transformation of the construction
industry, the goal of this paper is to provide a full picture and understanding of the emerging …

Predicting human motion is a critical requirement in various applications, with particular
significance in the construction sector. This task presents significant challenges due to the …

Automatic technologies are a developing trend in the construction industry and have
emerged by leveraging intelligent technologies. In automated construction, a human …

Human motion prediction is crucial for facilitating human–robot collaboration in customized
assembly tasks. However, existing research primarily focuses on predicting limited human …

Human-robot collaboration is a promising solution to relieve construction workers from
repetitive and physically demanding tasks, thus improving construction safety and …

Workers' motion trajectories or spatial tracks on construction sites contain useful safety-
related information. Existing safety management research on worker trajectory typically …

In the context of intelligent construction, the automatic alignment of precast components is
fundamental to erecting them automatically. The aligning process relies upon onsite aligning …

Different from pedestrian trajectory prediction, construction worker trajectories are usually
affected by risks and have complex movement patterns. Track point-based prediction …

Construction sites are inherently complex and dangerous environments where workers
need to maintain a high level of vigilance to ensure safety. Reduced vigilance can easily …

Purpose The construction industry has experienced an irreversible digital transformation to
smart construction. Many countries have published supporting policies to encourage the …