Timi Karner
Papers
7
Total Citations
74
H-Index
4
About
Timi Karner is a researcher focused on advancing robotic machining and manufacturing precision, with key contributions in robot stiffness modeling, accuracy optimization, and soft robotics. Their most impactful work, "Accuracy improvement of robotic machining based on robot’s structural properties" (2020, 32 citations), provides foundational methods for enhancing industrial robot performance by leveraging structural characteristics. Karner’s research on workpiece positioning optimization for robot milling (2017, 19 citations) addresses critical challenges in achieving machining tolerances, while their stiffness-based cell setup optimization for robotic deburring (2021, 6 citations) offers practical solutions for industrial automation. Beyond traditional robotics, Karner explores novel actuator materials, as seen in their work on dielectric elastomer actuators using fractional Maxwell models (2022, 8 citations), contributing to soft robotics. Their experimental stiffness calibration methods (2018, 4 citations) further advance virtual robot modeling. With recent work on 3D welding processes and collaborative robot trajectory learning (2023–2024), Karner demonstrates a commitment to bridging simulation and real-world robotic applications. Their research has accumulated over 70 citations, reflecting growing influence in precision manufacturing and adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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- 6Developing 3D Welding Process with SIEMENS NX and KUKA Robot Manipulator3 citations · 2024
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