Papers
2
Total Citations
51
H-Index
1
About
Xiaoru Liu is a pioneering researcher at the forefront of acoustic sensing and human–machine interaction (HMI), with a focus on developing intelligent auditory systems for robotics. Her work centers on designing highly sensitive, omnidirectional acoustic sensors that enable robots to perceive and interpret sound with unprecedented accuracy, even in challenging noisy environments. Liu’s major contributions include the creation of a highly sensitive omnidirectional acoustic sensor (2024), which has garnered 50 citations for its breakthrough in enhancing natural communication between humans and robots. This sensor addresses the critical challenge of identifying and tracking sound sources from all directions, a key limitation in prior HMI technologies. More recently, her 2025 study on deep learning-assisted acoustic sensors has advanced real-time emotion recognition in auditory robots, demonstrating the integration of artificial intelligence to decode emotional cues from sound. Liu’s work not only pushes the boundaries of sensor design but also lays the groundwork for more empathetic and responsive robotic systems. Her achievements are vital for applications in assistive robotics, smart environments, and interactive AI, marking her as a rising leader in acoustic engineering and intelligent systems.
Research Focus
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Top Papers
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