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Department of Mechanical Engineering MallaReddy(MR) Deemed to be University, Secunderabad, Telangana, India-500100
Abstract: (12 Views)
Artificial intelligence (AI) and robotics are reshaping the construction industry by providing new capabilities in data acquisition, automation, safety management, and decision-making. Construction sites traditionally rely on labour-intensive processes that are vulnerable to human error, safety hazards, and inefficiencies caused by inconsistent workflows and unpredictable field conditions. The emergence of intelligent robots—equipped with lidar, computer vision, sensor fusion, and machine learning—enables autonomous navigation, digital progress monitoring, automated layout marking, and mechanical assistance in material handling. Robots such as Boston Dynamics’ Spot, Dusty Robotics’ layout printing system, and Construction Robotics’ MULE have demonstrated the feasibility of integrating automated devices into dynamic construction environments. AI-based algorithms increasingly assist in interpreting vast volumes of site data, identifying deviations, enhancing documentation accuracy, and supporting collaborative decision-making between human workers and robotic agents.
Despite these advancements, adoption remains limited due to cost, site congestion, power constraints, and variations across project types. Successful integration therefore requires detailed planning, evaluation frameworks, and operational support systems tailored to each project’s spatial, technical, and logistical demands. This paper provides a comprehensive review of robotic applications in construction, analyzes the role of AI in enabling autonomy, assesses challenges hindering large-scale implementation, and proposes future directions for intelligent construction ecosystems. The study concludes that AI-enabled robotics can significantly enhance productivity, safety, and documentation quality, but their sustainable integration will depend on structured planning, workforce training, and continued advancements in robot cognition, collaboration, and self-adaptation.
Despite these advancements, adoption remains limited due to cost, site congestion, power constraints, and variations across project types. Successful integration therefore requires detailed planning, evaluation frameworks, and operational support systems tailored to each project’s spatial, technical, and logistical demands. This paper provides a comprehensive review of robotic applications in construction, analyzes the role of AI in enabling autonomy, assesses challenges hindering large-scale implementation, and proposes future directions for intelligent construction ecosystems. The study concludes that AI-enabled robotics can significantly enhance productivity, safety, and documentation quality, but their sustainable integration will depend on structured planning, workforce training, and continued advancements in robot cognition, collaboration, and self-adaptation.
Keywords: Construction Robotics, Artificial Intelligence (AI), Simultaneous Localization and Mapping (SLAM), Building Information Modelling (BIM) and Digital Twins, Human–Robot Collaboration (HRC)
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