Xi-bin Chen
Papers
1
Total Citations
5
H-Index
1
About
Xi-bin Chen is a researcher at the forefront of intelligent robotics and swarm optimization, with a particular focus on applying computational intelligence to real-world service challenges. His primary research areas include mobile robot path planning, quantum-inspired algorithms, and assistive technologies for elderly care. Chen’s most notable contribution is the development of a quantum particle swarm optimization (QPSO) algorithm tailored for path planning in complex community environments, where traditional swarm intelligence methods often fall into local optima. By framing the path optimization as an NP-hard problem, he demonstrated how quantum computing principles can enhance the global search capability of particle swarms, enabling pension robots to navigate dynamic, obstacle-rich settings more efficiently. His 2018 paper on this topic has garnered 5 citations, reflecting its niche but growing influence in the intersection of swarm intelligence and service robotics. Chen’s work is particularly significant for its practical orientation—addressing the pressing societal need for autonomous guidance systems for the elderly. His research bridges theoretical optimization with tangible applications, offering a foundation for future studies in adaptive, quantum-enhanced robotics for assisted living environments.
Research Focus
Key Achievements
Top Papers
- 1