Hoon Kwon
Papers
2
Total Citations
8
H-Index
2
About
Hoon Kwon is a researcher focused on advancing automation and robotics, with key contributions in inspection systems and industrial robot trajectory planning. His work addresses critical challenges in automated manufacturing, particularly in optimizing efficiency and precision. Kwon’s most cited paper, "Rescan Strategy for Time Efficient View and Path Planning in Automated Inspection System" (2019, 6 citations), introduces a novel approach to reducing inspection time by intelligently planning sensor views and robot paths, enhancing productivity in quality control processes. Another notable contribution, "Circular Path Based Trajectory Blending Algorithm Considering Time Synchronization of Position and Orientation Trajectories" (2018, 2 citations), tackles the complex issue of generating smooth, synchronized motion for industrial robots when blending linear and circular paths. This work is vital for improving the accuracy and fluidity of robotic movements in tasks like welding or assembly. Though his citation counts are modest, Kwon’s research is foundational for engineers developing more efficient and reliable automated systems, demonstrating a clear impact on practical robotics applications.
Research Focus
Key Achievements
Top Papers
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- 2