Alec Kanyuck
Papers
7
Total Citations
184
H-Index
4
About
Alec Kanyuck is a robotics and advanced manufacturing researcher whose work sits at the intersection of robotic motion planning, additive manufacturing, and automation. He is best known for his pioneering contributions to conformal three-dimensional printing, developing algorithms that enable robotic systems to deposit material along nonplanar, curved surfaces — overcoming a fundamental limitation of traditional layer-by-layer additive manufacturing. His 2019 paper on generating robot trajectories for conformal 3D printing has accumulated 76 citations, establishing it as a foundational reference in the field, while his earlier 2018 conference work laid the groundwork with 49 citations. Beyond 3D printing, Kanyuck has tackled the complex problem of synchronizing multi-robot systems in shared workspaces, contributing an optimization-based trajectory planning framework that has drawn 35 citations. His more recent research extends into wire arc additive manufacturing, where he has applied unsupervised machine learning to regulate deposition quality and developed automated process planning pipelines. He has also advanced robotic composite sheet layup, addressing real-world challenges in aerospace manufacturing automation. Across his career, Kanyuck's work reflects a consistent commitment to bridging theoretical robotics with practical industrial applications, making complex fabrication processes more intelligent, adaptable, and scalable.
Research Focus
Key Achievements
Top Papers
- 1
- 2Trajectory Planning for Conformal 3D Printing Using Non-Planar Layers49 citations · 2018
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- 4Automated process planning for conformal wire arc additive manufacturing16 citations · 2022
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