Xingzhen Bai
Papers
3
Total Citations
40
H-Index
3
About
Xingzhen Bai is a leading researcher in mobile robotics and wireless sensor networks, with a focus on enabling precise and reliable robot localization in complex environments. His work addresses critical challenges in distributed sensor systems, where accurate positioning is essential for effective coordination between mobile robots and sensor nodes. Bai’s most-cited paper (22 citations) introduces methods to enhance localization for proximity-based services, while his 2020 study (11 citations) tackles the difficult problem of non-line-of-sight (NLOS) situations in industrial settings, proposing novel measurement strategies and an improved particle filter for robust robot navigation. Earlier, he contributed to the design of ZigBee-based wireless sensor and actuator networks for service robot intelligent spaces (2012, 7 citations), laying groundwork for integrated automation. His research has direct applications in industrial automation, service robotics, and the Internet of Things, helping robots operate reliably where GPS fails. Bai’s work is essential reading for engineers and researchers developing autonomous systems that must function in cluttered, dynamic, or GPS-denied environments.
Research Focus
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Top Papers
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