Cunxiao Miao

University of Science and Technology Beijing

Papers

Total Citations

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About

Cunxiao Miao’s research lies at the intersection of sensor fusion, robotics, and electronic skin technologies, with a focus on enabling precise motion estimation and tactile sensing for autonomous systems. In their highly cited 2013 work (9 citations), Miao developed an adaptive extended Kalman filter that fuses inertial and magnetic sensor data to estimate orientation for small unmanned aerial vehicles, addressing critical challenges in sensor noise and dynamic environments. This foundational contribution to orientation estimation systems has supported advances in drone stability and navigation. Miao further expanded into multi-sensor integration with a 2020 study (3 citations) that proposed a tightly coupled RGB-D visual-inertial SLAM system using multi-feature nonlinear optimization, overcoming the limitations of point-based methods in low-texture indoor settings. Beyond motion estimation, Miao’s comprehensive 2017 review (5 citations) on tactile sensors for electronic skin systematically surveyed progress in sensing principles, novel materials, and bio-inspired designs, providing a roadmap for developing e-skin that mimics human tactile perception. Through these contributions, Miao has advanced both the theoretical and practical understanding of sensor fusion and tactile sensing, with work that continues to influence research in robotics, wearable electronics, and autonomous navigation.