Papers
2
Total Citations
17
H-Index
2
About
Kuan Yu Chen is a robotics researcher whose work centers on advancing computer vision and autonomous navigation systems, with a particular focus on stereo vision and simultaneous localization and mapping (SLAM) technologies. His most influential contribution, "Improving the Accuracy of Depth Estimation in Binocular Vision for Robotic Applications" (2013, 12 citations), addresses a fundamental challenge in extracting precise three-dimensional information from stereo images—a critical capability for robot navigation, scene reconstruction, and optical inspection systems. Building on this foundation, Chen's work on "Visual simultaneous localization and mapping using stereo vision with human body elimination for service robotics" (2012, 5 citations) tackles a practical obstacle in real-world deployment: the computational burden and estimation errors caused by moving people in dynamic environments. By developing methods to filter out human bodies as temporary landmarks, Chen's research enhances the efficiency and reliability of V-SLAM systems for service robots operating alongside humans. Though his citation counts reflect focused, early-career contributions, Chen's work demonstrates a clear trajectory toward solving practical perception challenges in human-robot interaction environments, making him a promising voice in the field of vision-based robotics.
Research Focus
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Top Papers
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