Hao-Qian Liu
Papers
1
Total Citations
5
H-Index
1
About
Hao-Qian Liu is a researcher whose work bridges artificial intelligence, robotics, and elderly care, with a focus on optimizing autonomous systems for real-world service applications. His key research areas include swarm intelligence algorithms, mobile robot path planning, and assistive technologies for aging populations. Liu’s most notable contribution is his application of quantum particle swarm optimization (QPSO) to address the NP-hard path planning challenges faced by pension robots in complex community environments. By improving upon traditional swarm intelligence methods, his work offers more efficient local optimization solutions, enabling robots to navigate safely and effectively in settings designed for elderly care. His 2018 paper on this topic has garnered 5 citations, reflecting its relevance in the growing field of service robotics. Liu’s research is particularly significant as it directly addresses the pressing societal need for automated support systems in aging communities, combining theoretical optimization with practical, human-centered design. His work stands as a valuable reference for researchers developing intelligent, adaptive robots for assisted living environments.
Research Focus
Key Achievements
Top Papers
- 1