Structured Representation of Industrial Robot Data for Augmented Reality Applications: A Unified Approach
Publication Name: Isse 2025 11th IEEE International Symposium on Systems Engineering Symposium Proceedings
Publication Date: 2025-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
Industrial robots generate diverse types of data, such as position, orientation, coordinate system definitions, tooling information, and safety zone configurations. Handling these heterogeneous datasets uniformly is challenging, especially when integrating data from multiple robot manufacturers within augmented reality (AR) environments. This research introduces a unified data structure that encapsulates robot-specific data along with supplementary metadata, including source identifiers, unique data identifiers, data types, original orientation formats, status data, and timestamps. The developed data model, validated by JSON Schema, ensures consistent interpretation and ease of integration into AR visualization environments.
Open Access: Yes