Papers
7
Total Citations
73
H-Index
4
About
Hao-Yu Liao is a researcher at the forefront of sustainable manufacturing, human-robot collaboration, and intelligent automation, with a particular focus on the disassembly and remanufacturing of end-of-life products. His most influential work, "Optimization-Based Disassembly Sequence Planning Under Uncertainty for Human–Robot Collaboration" (2022), has garnered 44 citations and proposes a sophisticated optimization framework that leverages robotic technology to streamline labor-intensive dismantling operations — a critical advance for the circular economy. Liao has made significant strides in applying machine learning and deep learning to real-world manufacturing challenges, including classifying waste electrical and electronic equipment and recognizing human activity during disassembly tasks. His research on human hand motion prediction reflects a strong commitment to operator safety in close human-robot collaborative environments. Beyond industrial applications, Liao has also explored the design of socially assistive robots for elderly populations, demonstrating a broader interest in human-centered robotics. With over 70 cumulative citations across his portfolio, his work bridges optimization, computer vision, and sustainable manufacturing, making him a valuable voice in the ongoing effort to make remanufacturing smarter, safer, and more efficient.
Research Focus
Key Achievements
Top Papers
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- 4Human Hand Motion Prediction in Disassembly Operations4 citations · 2022
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