Cuicui Cai

Papers

Total Citations

H-Index

About

Cuicui Cai is a researcher specializing in robotics and optimization algorithms, with a particular focus on path planning for mobile robots operating in complex environments. Her most cited work, "A path planning method using modified harris hawks optimization algorithm for mobile robots" (2023, 8 citations), addresses a critical challenge in robotics: the tendency of conventional path planning algorithms to become trapped in local optima, which can hinder efficient task completion. Cai’s major contribution lies in developing a modified Harris hawks optimization (MHHO) algorithm that enhances global search capabilities, enabling mobile robots to navigate intricate terrains more effectively. This innovation has practical implications for autonomous systems in industries like logistics, manufacturing, and exploration. While her citation count is still growing, her work demonstrates a clear impact on advancing swarm intelligence-based optimization techniques for real-world robotic applications. Cai’s research bridges theoretical algorithm design and practical robotics, offering a robust solution to a persistent problem in autonomous navigation. Her contributions are particularly valuable for students and researchers interested in bio-inspired computing, mobile robotics, and the intersection of optimization and artificial intelligence.