Herein, I present advancements in path and trajectory planning in low—cost Fused Filament Fabrication (FFF) additive manufacturing. I improve and extend path and trajectory planning algorithms with a focus on low computational cost to enable real-time computation on limited hardware such as a Raspberry Pi or similar. I present a large dataset of vibrational overshoot error and simulated motion completion times classified by characteristic types of motion, to pave the way for section—specific setting optimization for the improvement of FFF 3D printing processing speeds. I demonstrate a novel approach for manufacturing autoclavable Personal Protective Equipment (PPE) using low—cost modifications to a low—cost, open—source 3D printer, potentially allowing distributed manufacturing of autoclavable PPE in times of supply chain uncertainty, such as during the COVID-19 pandemic. Finally, I present a cost—reductive approach to the motion stages and control system of a complex additive manufacturing research system.