DSFB Structural Semiotics Engine for Robotics Health Monitoring: A Deterministic Augmentation Layer for Typed Residual Interpretation of Joint Degradation, Actuator Drift, and Kinematic Anomalies in Safety-Critical Robotic Systems

Robotic systems in manufacturing, collaborative assembly, surgical assistance, and autonomousinspection already produce dense residual streams through controller error signals, torque estima-tion discrepancies, vibration monitoring baselines, and kinematic model deviations. Operationalaction, however, remains dominated by scalar threshold alarms that suppress temporal struc-ture. This paper studies the DSFB Structural Semiotics Engine as a deterministic augmentationlayer over those existing residual streams in robotic health monitoring.It does not propose a replacement controller, a new fault detection architecture, or a com-peting prognostics framework. Instead, it maps residual trajectories into explicit…