This paper presents a motion-based taxonomy for classifying lattice structures in additive manufacturing (AM) based on their geometric suitability for linear, oscillating, reciprocating, and rotary motions. While existing classification frameworks primarily focus on static load-bearing performance, this study develops a geometry-driven taxonomy, classifying 51 lattice variations based on how tessellation patterns and wall thickness influence motion-driven deformation. The taxonomy provides a framework independent of materials, aiding the selection of lattices for compliant structures, and energy-absorbing applications, by isolating geometric tessellations to assess their role in dynamic deformation and motion suitability. This approach links lattice geometry to motion-driven behaviour, offering a predictive framework for AM design while emphasising its role in motion applications.
