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About

Lijuan Pi is a pioneering researcher in bio-inspired robotics, specializing in the attitude estimation and control of micromechanical aerial and underwater vehicles. Her work draws inspiration from nature, developing sensor fusion and geometric control strategies for robotic systems modeled after flying insects and fish. Pi’s most cited paper, “Attitude Estimation of a Biologically Inspired Robotic Housefly via Multimodal Sensor Fusion” (2009, 21 citations), introduces a dynamic observer that integrates redundant bio-inspired sensors to estimate the attitude of micro aerial vehicles (MAVs). Her subsequent work, “Multimodal sensor fusion for attitude estimation of micromechanical flying insects: A geometric approach” (2008, 20 citations), further refines this approach using geometric methods, enabling robust estimation in challenging environments. Pi also contributed to underwater robotics with “Attitude control for a pectoral fin actuated bio-inspired robotic fish” (2011, 17 citations), presenting a dynamic model for a highly maneuverable robotic fish modeled after the Ostracion Meleagris. Her research on “Attitude Stabilization of a Biologically Inspired Robotic Housefly via Dynamic Multimodal Attitude Estimation” (2009, 13 citations) demonstrates the practical application of her estimation techniques to achieve stable flight. With over 70 total citations, Pi’s work has advanced the field of bio-inspired robotics, offering elegant solutions for attitude control in small-scale autonomous systems.