Penghua Liu

Quanzhou Institute of Equipment Manufacturing Haixi Institute, Xiamen University of Technology

Papers

Total Citations

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About

Penghua Liu is a robotics researcher whose work focuses on advancing autonomous navigation and human-robot interaction, particularly for mobile robots and automated guided vehicles (AGVs). His key research areas include human-following robots, laser-based perception, and industrial navigation systems. Liu’s most notable contribution is his work on laser-based side-by-side following for human-following robots, where he tackled the challenge of full occlusion when a target person turns at corridor intersections—a problem that often leads to temporary or permanent loss of the target. This paper has garnered 19 citations, reflecting its impact on the field. He further refined target recognition in cluttered environments through feature-optimized HDBSCAN for detecting and tracking human legs using a single lidar, a study with 8 citations. In industrial robotics, Liu proposed an improved magnetic spot navigation method to replace barcode navigation in AGVs, addressing issues like damaged barcodes and speed control, which has received 5 citations. His work bridges the gap between robust human-robot interaction and practical industrial applications, making significant strides in both research and real-world deployment.