Ching-Hao Meng
Papers
2
Total Citations
10
H-Index
2
About
Ching-Hao Meng is a robotics researcher whose work focuses on the intersection of autonomous navigation, human-robot collaboration, and visual perception. His key research areas include autonomous docking systems for Automated Guided Vehicles (AGVs), human motion detection, and improving the robustness of visual SLAM (Simultaneous Localization and Mapping) in dynamic environments. Meng’s major contributions include the development of an AGV system capable of both autonomous docking and real-time human collaboration, enabling safer and more efficient human-robot interaction in industrial settings. His most cited work, “Autonomous Docking in a Human-Robot Collaborative Environment of Automated Guided Vehicles” (2020), has garnered 8 citations and introduces a novel framework that integrates navigation, docking, and human recognition. In a more recent study (2023), Meng proposed a method to enhance visual SLAM accuracy by removing feature points associated with moving persons, addressing a critical challenge in dynamic environments. This work demonstrates his commitment to advancing mobile robot localization in real-world, human-populated spaces. With a growing citation record and a focus on practical, safety-critical applications, Meng is establishing himself as a promising voice in autonomous robotics and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 2