Mingnan Hu

Papers

Total Citations

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About

Mingnan Hu is a robotics researcher whose work focuses on enabling intelligent robots to operate reliably in complex, real-world environments. His primary research areas include simultaneous localization and mapping (SLAM), multi-robot collaborative systems, and robotic security. Hu’s most notable contribution is his development of a multimodal fusion-based RGB-D SLAM system that robustly handles dynamic environments—a critical advancement, as most existing SLAM systems fail when moving objects are present. This work, published in 2024, has already garnered 3 citations for addressing a fundamental limitation in autonomous navigation. He has also explored the vulnerabilities of robotic systems, designing data tampering attacks on ROS-based object detection and tracking platforms (2021, 2 citations), highlighting important security concerns in human-robot interaction. Additionally, Hu has contributed to large-scale multi-robot collaborative localization using relative observations (2022, 1 citation), advancing the scalability of multi-agent systems. His research bridges the gap between theoretical SLAM algorithms and practical deployment challenges, making him a promising voice in the field of robust and secure robotic perception.