Penghao Liu

National Engineering Research Center for Information Technology in Agriculture

Papers

Total Citations

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About

Penghao Liu is a robotics researcher whose work centers on multi-robot perception, sensor fusion, and simultaneous localization and mapping (SLAM). His most-cited paper, "An Online Multi-Robot SLAM System Based on Lidar/UWB Fusion" (2021, 40 citations), addresses a critical challenge in cooperative robotics: enabling multiple agents to collaboratively map unknown environments in real time. By fusing LiDAR data with Ultra-Wideband (UWB) ranging, Liu’s system overcomes the limitations of single-robot SLAM, such as slow exploration and vulnerability to failure, while improving localization accuracy in GPS-denied settings. This contribution is particularly impactful for applications in search-and-rescue, warehouse automation, and planetary exploration. Liu’s work demonstrates a clear understanding of the trade-offs between communication bandwidth, computational load, and mapping fidelity in distributed systems. His research has been cited by teams working on swarm robotics and infrastructure inspection, highlighting its practical relevance. As the field moves toward greater autonomy, Liu’s innovations in multi-robot coordination and robust sensor fusion position him as a rising contributor to next-generation robotic systems.