Papers
4
Total Citations
49
H-Index
4
About
Mingyu Gao is a researcher whose work spans advanced manufacturing, robotic systems design, and precision engineering — fields at the intersection of computational design and physical fabrication. Gao's most recognized contribution lies in optimizing additive manufacturing processes, particularly through innovative support reduction strategies for layered manufacturing. His 2021 paper on Variable Orientation Tracking (VOT) for manifold surfaces — garnering 17 citations — introduced a theoretically grounded method for minimizing external support structures in 3D printing, reducing material waste and post-processing demands. Building on this, his 2022 work extended these principles to thin-walled composite structures, accumulating 13 citations and advancing support-free design for complex geometries. Gao has also made meaningful strides in robotics, developing precision allocation frameworks that account for uncertain hybrid error sources in parallel robotic mechanisms (10 citations), and proposing singularity-free workspace decomposition methods to optimize dexterity in multi-joint robotic attitude adjustment (9 citations). Together, his contributions reflect a coherent research vision: making both manufacturing and robotic systems more efficient, precise, and practically deployable — valuable reading for engineers and researchers working at the frontier of smart manufacturing and robotics design.
Research Focus
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