Milton Borsato
Papers
3
Total Citations
11
H-Index
2
About
Milton Borsato is a researcher at the forefront of advancing additive manufacturing through computational geometry and robotics. His work centers on developing intelligent slicing algorithms and volume decomposition strategies for robot-based additive manufacturing, particularly for wire-arc additive manufacturing (WAAM) processes. Borsato’s key contributions include the empirical characterization of track dimensions for CMT-based WAAM, which provides foundational data for process optimization, and the implementation of a non-uniform cylindrical slicing algorithm that enables more efficient, adaptive toolpath generation for complex geometries. His approach to volume decomposition facilitates the automated planning of multi-axis robotic deposition, bridging the gap between CAD models and physical production. Though his career is still in its early stages, his papers have already accumulated over a dozen citations, reflecting growing interest in his methodologies. Published in venues like *Computer-Aided Design and Applications*, Borsato’s work is particularly notable for its integration of virtual assessment tools, allowing for simulation-based validation before real-world fabrication. His research is essential reading for anyone interested in the future of large-scale, robot-driven additive manufacturing.
Research Focus
Key Achievements
Top Papers
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