Ruoyi Zhao
Papers
1
Total Citations
16
H-Index
1
About
Ruoyi Zhao is a researcher specializing in mobile robotics and optimization algorithms, with a particular focus on path planning and trajectory design. Their most-cited work, "Designing the optimal path curve based on spline functions for mobile robot using the combination of bee colony algorithm and genetic algorithm" (2024, 16 citations), introduces a novel hybrid meta-heuristic approach that integrates the bee colony algorithm with genetic algorithms to optimize spline-based path curves. This contribution addresses critical trade-offs in mobile robot navigation, balancing time efficiency, path length, and energy consumption—factors often treated separately in classical and probabilistic methods. By synthesizing the strengths of two powerful optimization techniques, Zhao's work offers a more robust and adaptive solution for complex routing challenges. This research has already garnered attention within the robotics community, demonstrating its potential for real-world applications in autonomous systems. Zhao's work stands out for its practical focus on multi-objective optimization, making it a valuable reference for researchers and engineers seeking to enhance the efficiency and intelligence of mobile robot navigation.
Research Focus
Key Achievements
Top Papers
- 1