Papers
6
Total Citations
86
H-Index
4
About
Guosheng Yang is a robotics and autonomous systems researcher whose work sits at the intersection of mobile robotics, wireless sensor networks (WSN), and human-robot interaction. His most influential contributions focus on enabling autonomous mobile robots to navigate intelligently in complex indoor environments — a challenge with significant real-world implications for logistics, healthcare, and smart building applications. Yang's landmark 2009 paper on WSN-based indoor navigation, which has garnered 34 citations, demonstrated how low-cost, distributed sensor networks could replace expensive fixed infrastructure for guiding autonomous robots. He extended this work in 2010 with SLAM (Simultaneous Localization and Mapping) implementations in WSN environments, accumulating an additional 19 citations, and further pioneered multi-robot cooperative SLAM approaches. His 2007 teleoperation research, with 25 citations, showcased an Internet-controlled omnidirectional robot with a five-degree-of-freedom manipulator, emphasizing accessible, user-friendly remote operation. Earlier in his career, Yang explored machine learning applications in image segmentation and neural Q-learning for distributed visual navigation, revealing a broad technical foundation underlying his robotics work. Collectively, his research has contributed meaningful advances to indoor robot autonomy, making sophisticated navigation systems more practical and affordable for real-world deployment.
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