Papers
10
Total Citations
138
H-Index
7
About
Xun Liu is a multidisciplinary researcher whose work bridges cognitive science, robotics, and human-robot interaction. His research spans three interconnected domains: the psychology of human perception, computational modeling of attention, and advanced robotic systems. Liu has made notable contributions to understanding how both biological and artificial systems process competing sensory information, particularly through his highly cited literature review on the Uncanny Valley (2020, 49 citations) and his comprehensive examination of selective attention from audiovisual and crossmodal perspectives (2020, 29 citations). A recurring thread in his work is crossmodal conflict resolution — investigating how the brain and robots reconcile contradictory sensory inputs — culminating in a landmark demonstration that a humanoid robot could perform human-like social attention behaviors (2023, 12 citations). On the engineering side, Liu has tackled real-world industrial challenges, developing innovative wall-climbing robots with adaptive magnetic adhesion mechanisms and reinforcement learning-based impedance controllers for compliant robotic operation. His bionic robotics work, including a water strider-inspired robot, further reflects his broad creative range. With over 130 cumulative citations, Liu's research offers meaningful advances at the intersection of neuroscience-inspired computing and practical robotics engineering.
Research Focus
Key Achievements
Top Papers
- 1A Literature Review of the Research on the Uncanny Valley49 citations · 2020
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- 5A computational model of crossmodal processing for conflict resolution10 citations · 2017
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