Papers
3
Total Citations
13
H-Index
2
About
Xiaoyun Liu is a researcher whose work bridges robotics and organizational psychology, with a primary focus on intelligent navigation systems and the human impact of automation. Liu’s most significant contributions lie in reinforcement learning for mobile robot path planning, particularly in unknown and nondeterministic environments. Their 2018 paper, "Reinforcement Learning for Robot Navigation in Nondeterministic Environments," has garnered 9 citations and formulates path planning as a nondeterministic Markov decision process, a foundational approach for autonomous security and search missions. Building on this, Liu advanced mapless navigation in 2019 by integrating deep reinforcement learning with parameter space noise, enabling end-to-end motion planning from laser range data—a notable step toward more adaptive robotics. More recently, Liu has explored the societal side of technology, examining how awareness of smart technology, AI, robotics, and algorithms (STARA) affects healthcare providers’ job performance and qualitative job insecurity. This 2025 work, with 2 citations, highlights Liu’s growing interest in the human factors of automation. With a career spanning both technical robotics and behavioral science, Liu offers a unique perspective on how intelligent systems are designed and how they reshape the workforce.
Research Focus
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Top Papers
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