Papers
2
Total Citations
14
H-Index
2
About
Liwei Xu is a researcher whose work bridges the frontiers of service robotics and intelligent vehicle control. His research primarily focuses on human-robot interaction in service contexts and advanced self-localization techniques for autonomous systems. In a notable 2025 study, Xu applied the cognitive-affective-conative framework to investigate how perceptions of human-robot interaction influence customer value co-creation intention in hotel service robots, providing crucial insights for service industry automation. This work has already garnered 8 citations. In a separate, highly technical contribution from 2022, Xu developed a novel dead reckoning calibration scheme using an adaptive quantum-inspired evolutionary algorithm for vehicle self-localization, addressing critical parameter calibration challenges in autonomous driving control. This innovative approach, which has received 6 citations, moves beyond traditional, path-dependent calibration methods. Through these dual contributions, Xu demonstrates a unique ability to apply computational optimization to engineering challenges while also exploring the psychological dynamics of human-robot interaction, marking him as a versatile and impactful researcher in the evolving landscape of intelligent systems.
Research Focus
Key Achievements
Top Papers
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