Papers
2
Total Citations
119
H-Index
2
About
Wenjie Yan is a leading researcher in socially assistive robotics and human-robot interaction, with a focus on developing intuitive, human-like behaviors for robotic systems. Her seminal work, "Socially Assistive Robots: A Comprehensive Approach to Extending Independent Living" (2013, 106 citations), provides a foundational framework for designing robots that support aging populations and individuals with disabilities, emphasizing autonomy and quality of life. Yan’s research also bridges neuroscience and robotics, as demonstrated in her innovative paper "Human-like reflexes for robotic manipulation using leaky integrate-and-fire neurons" (2010, 13 citations), which translates biological reflex mechanisms into robotic control systems. This work enhances robot safety and responsiveness in dynamic environments, particularly for humanoid platforms. By integrating cognitive modeling with practical robotic design, Yan has advanced the field’s understanding of how robots can seamlessly coexist with humans. Her contributions are widely recognized for their interdisciplinary impact, shaping both assistive technology and neural-inspired robotics. Yan’s research continues to influence how robots perceive and react to human needs, making her a key figure in the evolution of socially aware and physically capable robotic assistants.
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