Artificial intelligence (AI) has garnered significant attention within the modular construction
industry, emerging as a prominent frontier development trend. A comprehensive and …

The potential for facilitating faster, safer, and more sustainable construction processes
through the adoption of smart construction technologies is widely recognized. However, the …

Off-site construction (OSC) is expected to boost productivity, shorten construction time, and
reduce labour and material wastage. Despite these benefits, most OSC projects have not …

Offsite construction (OSC) techniques are argued to provide superior quality and shorter
schedules compared with traditional techniques. Nonetheless, the pace of OSC …

The integration of automation technologies has improved the efficiency of industrialised
construction (IC), yet a deeper understanding of their effects on the manufacturing and …

In this work, we study generalization in reinforcement learning for traveling salesman
problem (TSP). While efforts have been made for designing deep reinforcement learning …

Multi-task multi-agent reinforcement learning aims to control multiple agents to perform well
on multiple tasks. It encounters three core challenges: the varying number of agents and …

Prefabricated construction is increasingly replacing traditional methods due to its higher
productivity, superior quality, and shorter construction time. This paper aims to optimize …

The transition to robotic construction requires advanced planning approaches to meet the
specific requirements for successful robot deployment. Robots require precise information …

Reinforcement learning (RL) has emerged as a promising solution method for crane-lift path
planning. However, designing appropriate reward functions for tower crane (TC) operations …