Chung-Sheng Wang
Papers
1
Total Citations
12
H-Index
1
About
Chung-Sheng Wang is a researcher at the forefront of assistive robotics and human–machine interaction, with a primary focus on developing intelligent systems to support the elderly and individuals with cognitive decline. His most notable contribution is the creation of a Chinese Chess robotic system that leverages convolutional neural networks (CNNs) to engage elderly users in cognitive stimulation. This work, published in 2020, has garnered 12 citations and addresses a pressing global challenge: with an estimated 50 million people living with dementia and 10 million new cases annually, Wang’s innovation offers a non-pharmacological intervention to slow cognitive deterioration through interactive play. By integrating deep learning with robotics, he has demonstrated how traditional games can be adapted for therapeutic use, blending cultural relevance with cutting-edge technology. Wang’s research not only highlights the potential of AI-driven companionship but also underscores the importance of designing for aging populations. His work stands as a meaningful step toward scalable, affordable solutions for dementia care, earning recognition for its interdisciplinary approach and real-world applicability.
Research Focus
Key Achievements
Top Papers
- 1