| Abstract Scope |
Multi-axis additive manufacturing using localized deposition methods such as FFF, DED, and WAAM has long relied on pre-processed build plans. The stochastic nature of these processes poses challenges for motion planning, particularly given thermal gradients, part-level distortion, and anomaly formation that invalidate the geometric assumptions underlying offline toolpaths. Closed-loop control of deposition parameters has reduced process variability, but the union of online robotic path planning with in-process parameter adjustment remains absent, and current workflows are operator-dependent and decoupled from motion planning. This work unifies path planning, collision-aware trajectory generation, data acquisition, and processing within a single application for multi-axis deposition cells. The framework is robot- and sensor-agnostic while enforcing a standard for sensor-actuator communication, providing a foundation for online motion control in which toolpaths re-plan mid-build in response to build-state changes. We present the software architecture, data fusion strategy, and communication modes enabling adaptive in situ remediation. |