Papers
20
Total Citations
173
H-Index
7
About
Chao Zhai is a versatile researcher whose work spans robotics, astronomical instrumentation, computational neuroscience, and multi-agent control systems. He has made significant contributions to the development of fiber positioning technologies for large-scale telescopes, most notably the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), where his work on calibration methods, deep learning-based detection, and precision measurement systems has advanced the capabilities of modern astronomical observation. His research into fiber positioner robots, including innovations in low-voltage motor design and multi-CCD camera measurement, has influenced next-generation telescope projects worldwide. Beyond astronomy, Zhai has pursued impactful work in human-robot interaction and clinical neuroscience. His most cited study (42 citations) introduced novel socio-motor biomarkers for schizophrenia using the "mirror game," offering a promising low-cost diagnostic tool. Complementary work exploring humanoid robot interactions with schizophrenia patients (30 citations) highlights his commitment to translational research at the intersection of robotics and mental health. More recently, Zhai has advanced multi-robot coverage control algorithms for nonconvex environments and distributed active disturbance rejection systems, demonstrating a sustained trajectory of innovation across diverse and impactful domains of robotics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1Unravelling socio-motor biomarkers in schizophrenia42 citations · 2017
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- 4Research on calibration method of LAMOST fiber robot11 citations · 2011
- 5LAMOST Fiber Positioning Unit Detection Based on Deep Learning9 citations · 2021
- 6Research of fiber position measurement by multi CCD cameras9 citations · 2014
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- 9The measuring apparatus research for BigBOSS fiber-positioner6 citations · 2012
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