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Automation in Construction· 2026Q1

Toward intelligent safety assurance in construction human-robot collaboration

Mingzhu Wang, Shijing Xu

Short summary

A systematic review of 215 studies reveals a shift from passive to adaptive safety assurance in construction human-robot collaboration, yet most research (54%) is lab-validated and lacks uncertainty integration.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Reviews 215 studies on construction human-robot collaboration (HRC) safety from 2011-2025.
  • Identifies five technological directions: robot design, context-aware perception, human understanding, autonomous adaptation, and safety management.
  • Observes a trend towards perception-driven, predictive, and adaptive safety assurance.
  • Finds 54% of studies are lab-validated, and few integrate uncertainty.
  • Proposes a closed-loop framework for integrating and validating uncertainty-aware HRC safety systems.

AI-generated from the title and abstract; the full text is not read.

Abstract

Construction human-robot collaboration (HRC) introduces physical, ergonomic, and cognitive risks that conventional isolated-based safeguards cannot adequately manage in dynamic, unstructured worksites and requires more adaptive forms of safety assurance. Although diverse robotics-related approaches have been developed, how they function as interconnected, active safety-assurance mechanisms for construction HRC remains insufficiently synthesised. This paper systematically reviews 215 studies published from 2011 to 2025 through PRISMA-guided screening, bibliometric analysis and thematic synthesis. Five connected technological directions are identified: robot design optimisation, context-aware perception, human-centric understanding and forecasting, autonomous robotic adaptation, and safety management. The synthesis shows a transition from passive risk avoidance toward perception-driven, prediction, and adaptive safety assurance, but 54% of studies remain limited to controlled laboratory validation, and few integrate uncertainty across sensing, prediction, control and supervision. Accordingly, a closed-loop framework is proposed to guide the integration and construction-realistic validation of verifiable, uncertainty-aware HRC safety systems.

The authors' abstract, as published at the source. Automation in Construction, 2026 · DOI ↗

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Field: Radiological and Ultrasound Technology

Radiological and Ultrasound TechnologyHealth Professions