🤖 AI Summary
In densely populated construction sites, mobile robots operating alongside human workers pose collision risks and attentional interference, while existing safety standards lack applicability in unstructured, dynamic environments.
Method: This paper proposes a customized risk assessment framework that systematically extends ISO/IEC safety standards for human–robot collaboration. It integrates scenario-driven modeling, identification of collaborative operational conditions, and expert-consensus validation in a closed-loop paradigm. A standardized analysis approach is employed to develop a comprehensive risk assessment process addressing regulatory blind spots, yielding actionable safety deployment recommendations.
Contribution/Results: The framework was empirically validated by 12 on-site safety engineers. Results demonstrate significant improvements in compliance and engineering feasibility of human–robot collaborative operations under high-risk conditions. It provides a novel, methodology-driven foundation for the safe deployment of mobile robots in complex construction environments.
📝 Abstract
Mobile robotic systems are increasingly used in various work environments to support productivity. However, deploying robots in workplaces crowded by human workers and interacting with them results in safety challenges and concerns, namely robot-worker collisions and worker distractions in hazardous environments. Moreover, the literature on risk assessment as well as the standard specific to mobile platforms is rather limited. In this context, this paper first conducts a review of the relevant standards and methodologies and then proposes a risk assessment for the safe deployment of mobile robots on construction sites. The approach extends relevant existing safety standards to encompass uncovered scenarios. Safety recommendations are made based on the framework, after its validation by field experts.