Condition-Dependent RGB-D Depth Uncertainty Modeling for Safety-Margin Planning and Empirical Risk Assessment of Robotic Manipulators: Research Dataset

This research dataset supports the manuscript “Condition-Dependent RGB-D Depth Uncertainty Modeling for Safety-Margin Planning and Empirical Risk Assessment of Robotic Manipulators” (Manuscript ID: sensors-4534782). The dataset contains the raw stored Intel RealSense D435 ROI depth sequences used in the analysis, processed depth-uncertainty data, primary and extended robotic manipulator planning and empirical risk evaluation results, statistical analysis outputs, frozen-path traceability records, source code, and configuration files.A README and SHA-256 checksums are provided to support interpretation, integrity verification, and reproducibility. Unless otherwise noted, the research data are provided under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, while the source code is provided under the MIT License, as specified in the accompanying license files.