Zhengke Fu
Papers
2
Total Citations
6
H-Index
2
About
Zhengke Fu is a researcher at the intersection of human-computer interaction, assistive robotics, and gerontechnology. Their work centers on two critical challenges: developing noninvasive interfaces for robotic control and addressing social isolation in aging populations. Fu’s 2022 review on noninvasive human-computer interface methods for robotic control (4 citations) provides a comprehensive mapping of the field’s evolution, using knowledge domain visualization to chart past trends and future directions in brain-computer interfaces, electromyography, and other hands-free control modalities. More recently, Fu conducted a systematic review and meta-analysis (2025, 2 citations) examining the effectiveness of artificial agents—including social robots and virtual companions—in reducing loneliness among older adults. This work synthesizes evidence on how emotionally responsive technologies can serve as scalable interventions for one of the most pressing public health challenges of aging. By bridging technical innovation in human-robot interaction with rigorous evaluation of real-world applications, Fu’s research offers practical pathways for deploying intelligent systems that enhance both physical capability and emotional well-being. Their dual focus on control interfaces and social robotics positions them as a thoughtful contributor to human-centered robotics.
Research Focus
Key Achievements
Top Papers
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- 2