Yanchao Zhai

Xi'an University of Architecture and Technology

Papers

Total Citations

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About

Yanchao Zhai is a researcher advancing the field of autonomous mobile robotics, with a particular focus on human-robot interaction and sensor fusion. His key research areas include multi-sensor integration, target tracking, and robust robot navigation in dynamic environments. Zhai’s most cited work, "Mobile robot following method based on UWB and single-line lidar" (2024), introduces a novel decision module that enables a follower robot to recognize, locate, and re-identify a human target, even when the target is temporarily lost. By combining Ultra-Wideband (UWB) localization with single-line LiDAR data and employing the DBSCAN clustering algorithm, his approach significantly enhances the robot’s reliability and efficiency in real-world human-machine integration scenarios. This work has already garnered 2 citations, reflecting its early impact in the robotics community. Zhai’s contributions are particularly notable for addressing the critical challenge of target re-identification, a common failure point in autonomous following systems. His research holds promise for applications in logistics, healthcare, and collaborative manufacturing, where seamless human-robot teamwork is essential.