Samoil Samak
Papers
2
Total Citations
20
H-Index
2
About
Samoil Samak is a researcher whose work bridges the precision of robotic kinematics with the practical challenges of advanced manufacturing. His primary research areas include screw theory, inverse kinematics, and the robotic manufacturing of thermoplastic composite materials. Samak’s most significant contribution is his algorithmic approach to solving generalized Paden–Kahan subproblems, a foundational challenge in robotics. His 2018 paper on this topic, which has garnered 16 citations, provides a geometric solution using screw theory to efficiently compute inverse kinematics, offering a powerful tool for robotic motion planning and control. This work extends classical methods, enabling more versatile and computationally efficient solutions for complex robotic systems. In parallel, Samak has explored the application of robotics in composite manufacturing, as seen in his 2020 study on Laser-Assisted Fiber Placement (LAFP). This work, with 4 citations, experimentally investigates real-time defect detection and process control to improve the quality of thermoplastic composite products. By addressing both the theoretical underpinnings of robot motion and the practical demands of automated production, Samak’s research contributes to making robotic systems more intelligent, precise, and reliable for industrial applications.
Research Focus
Key Achievements
Top Papers
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- 2