Ogst Chen
Papers
6
Total Citations
120
H-Index
4
About
Ogst Chen is a robotics and sensor systems researcher whose work has made significant contributions to the fields of indoor localization, multisensor fusion, and human-robot monitoring. With a career spanning over a decade of impactful publications, Chen has focused primarily on developing intelligent systems that enable precise tracking and detection of humans and robots in indoor environments. Chen's most influential work, "Wireless and Pyroelectric Sensory Fusion System for Indoor Human/Robot Localization and Monitoring" (2012, 55 citations), pioneered the integration of pyroelectric infrared (PIR) sensing with wireless technologies to overcome longstanding challenges in indoor positioning accuracy. This research established a foundation for practical, low-cost surveillance and localization solutions applicable across robotics and smart environments. Complementing this, Chen's 2007 survey on "Multisensor Fusion and Integration" (30 citations) provided the broader research community with a comprehensive roadmap for combining redundant and complementary sensor data using control theory, signal processing, and artificial intelligence. Throughout their work, Chen consistently advanced cost-effective sensor network architectures and dynamic triangulation methods, making sophisticated monitoring systems more accessible. With a cumulative body of work totaling over 120 citations, Chen's research continues to inform developments in autonomous robotics, smart building systems, and human-centered sensing technologies.
Research Focus
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Top Papers
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