Papers
15
Total Citations
178
H-Index
7
About
Bo He is a versatile robotics and autonomous systems researcher whose work spans marine robotics, mobile navigation, machine learning, and human-robot interaction. He is perhaps best known for his pioneering contributions to Simultaneous Localization and Mapping (SLAM) for autonomous underwater vehicles (AUVs), with his 2012 paper on mechanical scanning forward-looking sonar-based AUV SLAM accumulating 55 citations — a landmark contribution to underwater navigation. His 2011 work on combined RBPF-EIF SLAM further addressed computational efficiency challenges in large-scale environments, demonstrating a sustained commitment to robust localization frameworks. Beyond underwater systems, He made early contributions to precise mobile robot navigation using GPS and encoder fusion, establishing foundational techniques still relevant today. His research evolved to encompass machine learning and human-robot interaction, notably exploring interactive reinforcement learning from demonstration and evaluative feedback (2018), and affective behavior learning for social robots (2022). More recently, He has advanced intelligent marine surveying through deep learning-based underwater target detection using side-scan sonar imagery. With over 160 cumulative citations, Bo He's interdisciplinary body of work bridges perception, navigation, and human-centered AI, making him a significant contributor to the field of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1AUV SLAM and Experiments Using a Mechanical Scanning Forward-Looking Sonar55 citations · 2012
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- 5GPS/encoder based precise navigation for a 4WS mobile robot13 citations · 2004
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- 7Precise navigation for a 4WS mobile robot11 citations · 2006
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