Papers
7
Total Citations
52
H-Index
4
About
Tobias Masiak is a researcher specializing in human-robot collaboration (HRC), aircraft manufacturing automation, and intelligent production systems. His work centers on one of aerospace engineering's most persistent challenges: automating complex assembly processes — particularly riveting — in environments constrained by large product dimensions, tight tolerances, and limited workspace. Masiak's most significant contributions revolve around developing collaborative riveting systems that blend human dexterity with robotic precision to improve both working conditions and production quality. His 2017 paper on HRC in aircraft riveting (16 citations) laid important groundwork, while subsequent studies expanded into real-time AI-supported rivet quality inspection (11 citations) and hybrid human-robot team coordination (10 citations). His research also addresses practical calibration challenges, proposing a best-fit method for 3D object alignment using laser line sensors on articulated robots. Notably, his 2020 doctoral-level work integrates AI algorithms and blockchain technologies into collaborative riveting processes, reflecting a forward-thinking approach to smart, adaptive manufacturing. With over 50 cumulative citations, Masiak's portfolio demonstrates a sustained and technically rigorous effort to bridge the gap between full automation and human labor in high-precision aerospace production, making his work highly relevant to researchers and engineers working at the frontier of Industry 4.0 manufacturing.
Research Focus
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