Papers

2

Total Citations

5

H-Index

2

About

Xinyao Wang is a researcher at the forefront of intelligent systems and disaster logistics, whose work bridges robotics and operational optimization. Wang’s key contributions include developing a multifunctional smart elderly care robot based on Raspberry Pi, integrating fall detection, voice interaction, face recognition, and SLAM-based indoor positioning to address aging population challenges. This work has garnered 3 citations, reflecting its relevance in assistive technology. Additionally, Wang has advanced collaborative path optimization for flood control material storage, a critical innovation in emergency management that has earned 2 citations. These contributions demonstrate a commitment to applying computational intelligence to real-world societal needs—from enhancing elderly independence to improving disaster response efficiency. Wang’s research stands out for its practical integration of hardware and software, offering scalable solutions for pressing global issues. With a growing citation record and a focus on human-centric technology, Wang is establishing a reputation for impactful, application-driven research that promises to shape future smart systems and logistics.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
An Intelligent Caregiver Elderly Robot Based on Raspberry Pi
3 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Communication University of China, Intelligent Health (United Kingdom)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago