Jasmine Kim
Papers
2
Total Citations
30
H-Index
2
About
Jasmine Kim is a leading researcher in the intersection of additive manufacturing, structural optimization, and robotic fabrication. Her work focuses on overcoming a critical barrier in advanced manufacturing: the inherent structural inconsistency of conventional layer-based additive manufacturing (AM). Kim’s major contribution is the development of fabrication-aware structural optimization techniques for lattice structures produced by robot-arm AM systems. By integrating the constraints and capabilities of robotic fabrication directly into the design optimization process, she enables the creation of intricate, high-strength, and high-stiffness architectural geometries that are not only intelligent in form but also reliably materializable. Her most cited work, "Fabrication-aware structural optimisation of lattice additive-manufactured with robot-arm" (2018), has garnered 19 citations, demonstrating its foundational impact on the field. This research is pivotal for expanding the end-use applications of AM, moving it beyond prototyping toward robust, load-bearing components in aerospace, automotive, and architecture. Kim’s achievements are particularly notable for bridging the gap between computational design and physical fabrication, ensuring that complex, optimized structures can be built with predictable performance.
Research Focus
Key Achievements
Top Papers
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- 2