Chengyang Ke
Papers
1
Total Citations
41
H-Index
1
About
Chengyang Ke is a researcher whose work lies at the intersection of robotics, optimization algorithms, and intelligent navigation systems. Ke’s primary contributions focus on enhancing the autonomy and efficiency of mobile robots through advanced computational methods. In their most-cited work, "Dynamic Path Planning of Mobile Robot Based on Improved Sparrow Search Algorithm" (2023, 41 citations), Ke addresses critical limitations in traditional sparrow search algorithms (SSA), including high computational time, suboptimal path lengths, and an inability to avoid dynamic obstacles. By introducing a multi-strategy improved SSA, Ke’s research enables robots to generate safer, shorter, and more adaptive paths in real-time environments. This work has been recognized for its practical impact on autonomous navigation, particularly in scenarios requiring rapid obstacle avoidance. Ke’s contributions are significant for students and researchers in robotics and artificial intelligence, offering a robust framework for integrating bio-inspired optimization with real-world robotic applications. Their ongoing work continues to push the boundaries of intelligent path planning, making autonomous systems more reliable and efficient.
Research Focus
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Top Papers
- 1