Lixia Meng

Papers

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About

Lixia Meng is a robotics researcher whose work bridges perception, navigation, and assistive technology. Her key research areas include sensor calibration, autonomous navigation, and brain-computer interfaces (BCI) for mobile robotics. She is best known for developing a simple yet effective algorithm for the extrinsic calibration of a camera with dual 2D laser range sensors, enabling accurate sensor fusion for mobile robots. This work, published in 2010, has garnered 7 citations and remains a foundational reference for multi-sensor calibration. Meng also made significant contributions to assistive robotics, proposing a machine-intelligence-assisted BCI navigation method for outdoor mobile robots. Her 2013 study on a vehicle navigation system combining BCI and dual laser radar (5 citations) addressed critical challenges in BCI technology, including low signal-to-noise ratio and time delays. In 2014, she extended this work with a general navigation strategy for semi-autonomous outdoor robots designed to aid severely disabled individuals (4 citations). Meng’s research demonstrates a clear trajectory from fundamental sensor calibration to applied assistive systems, showcasing her commitment to making mobile robots more capable and accessible.