Chengyu Hu
Papers
4
Total Citations
37
H-Index
4
About
Chengyu Hu is a researcher whose work lies at the intersection of swarm intelligence, evolutionary computation, and autonomous robotics. His primary contributions focus on solving the NP-hard problem of robot path planning, where he has pioneered the use of biologically inspired algorithms to overcome the limitations of traditional optimization methods, such as premature convergence to local optima. Hu’s most influential work, "Autonomous Robot Path Planning Based on Swarm Intelligence and Stream Functions" (2007), has garnered 19 citations and established a foundational approach that integrates swarm dynamics with fluid-inspired stream functions for efficient navigation. He further advanced the field with the "Elite particle swarm optimization algorithm and its application in robot path planning" (2013), which introduced a refined PSO variant to enhance solution quality. In 2022, Hu expanded into continuous optimization with a novelty-search-based evolutionary reinforcement learning algorithm, demonstrating his versatility in tackling complex, high-dimensional problems. With a cumulative citation count exceeding 37 across his top papers, Hu’s research is a valuable resource for students and engineers seeking robust, nature-inspired solutions for autonomous systems and optimization challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Robot Path Planning based on Swarm Intelligence6 citations · 2014
- 4