## 1 Introduction  
The integration of robotics into the construction industry has garnered increasing research interest, driven by the need to address persistent challenges such as labor shortages, safety hazards, and material inefficiencies [1]. While traditional construction methods heavily rely on manual labor and fragmented workflows, recent advancements in robotics, artificial intelligence (AI), and automation offer transformative potential. Emerging technologies, including autonomous navigation systems, AI-driven modular prefabrication,and human-robot collaboration frameworks, have demonstrated capabilities in tasks ranging from 3D printing to real-time site monitoring [2; 3; 4]. This research review examines the recent literature on robotics in the construction industry, emphasizing both practical applications and emerging speculative advancements. Several studies have provided systematic reviews of the state of robotic adoption and identify emerging trends. For instance, [PERSON] [5] explored the transition from automation to collaborative robotics, while [PERSON] et al. [6] assessed the growing role of robotics across various global regions. Similarly, [PERSON] et al. [7] concentrated on real-world applications, surveying the contributions of robotics to enhancing safety and productivity at construction sites. Additionally, other studies, such as that by [PERSON] [8], specifically investigated the role of AI-driven methodologies, including reinforcement learning, in adapting robotic systems to unstructured construction environments. A substantial body of research concentrates on construction robotics that utilize modular and prefabrication techniques. [PERSON] et al. [9] reviewed the role of automation in structural prefabrication, examining the contributions of robotics to design, manufacturing, and assembly processes. Similarly, [PERSON] et al. [10] introduced a modular robotic framework that incorporates BIM for the autonomous reconfiguration and execution of construction tasks. Furthermore, [PERSON] et al. [11] expanded upon this by employing deep reinforcement learning for robotic assembly planning, showcasing advancements in the optimization of automated workflows for prefabricated structures. In addition to modular construction, several studies have investigated the application of robotics in specific areas of construction. [PERSON] et al. [12] conducted a systematic review of robotic technologies utilized in concrete building construction with a particular focus on 3D printing applications. [PERSON] [13] examined various automated construction systems, including robots for bricklaying and glazing, drone-based surveying, and robotic 3D printing. Meanwhile, [PERSON] et al. [14] offered an alternative perspective by exploring human-robot interaction in construction, highlighting the potential for hybrid manual-robotic workflows to improve efficiency. While automation trends continue to progress, barriers to their adoption remain. Studies such as those by [PERSON] et al. [15] and [PERSON] [8] have discussed the economic, technical, and cultural constraints slowing the uptake of robotics in construction. Similarly, [PERSON] and [PERSON] [16] analyzed adoption feasibility through industry surveys, highlighting factors such as high initial costs and workforce skill gaps. Some studies have proposed frameworks to overcome these barriers. For instance, [PERSON] et al. [17] introduced the concept of a cyber-physical \"information backbone\" to improve coordination among robot fleets and human operators. Despite significant advancements, research gaps remain in areas such as swarm robotics, intelligent automation scheduling, and the real-world implementation of AI-driven robotics. While studies by [PERSON] et al. [10] and [PERSON] et al. [17] have suggested pathways toward cyber-physical integration and fleet-based automation, experimental validation of such systems remains limited.