Papers
4
Total Citations
142
H-Index
4
About
Hai Liu is a prolific researcher whose work spans robotics, computer vision, signal processing, and intelligent sensing systems. His most influential contribution, "Efficient Blind Signal Reconstruction With Wavelet Transforms Regularization for Educational Robot Infrared Vision Sensing" (2018), has garnered 119 citations and addresses critical challenges in Fourier transform infrared imaging, developing novel wavelet-based regularization techniques to mitigate band overlap and random noise in infrared spectrum acquisition. This foundational work established Liu as a key voice in advancing the precision of robot vision sensing systems. Building on this momentum, Liu extended his infrared research with a Gabor transform-based spectral restoration algorithm (DISR, 2019), further refining intelligent visual tracking capabilities. His interests have since broadened into energy-efficient robotics, where he introduced a differential evolutionary algorithm to optimize palletizing robot performance, and into fine-grained visual recognition, applying transformer architectures to endangered bird classification for robot vision tracking. Across these diverse yet interconnected domains, Liu consistently bridges theoretical signal processing with real-world robotic applications. His cumulative impact reflects a researcher dedicated to improving machine perception and autonomy, making his work highly relevant to students and practitioners in robotics, computer vision, and applied artificial intelligence.
Research Focus
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