Jihe Feng

Papers

Total Citations

H-Index

About

Jihe Feng is a researcher whose work centers on mobile robotics and intelligent path planning, with a particular focus on optimizing navigation algorithms for real-world efficiency. His most cited contribution, "Path Planning of Mobile Robot Based on Improved Genetic Algorithm" (2022), addresses a critical challenge in autonomous systems: enhancing the performance of path planning to reduce computational cost and improve route quality. By refining traditional genetic algorithms, Feng’s work offers a more adaptive and efficient solution for mobile robot navigation, directly impacting fields such as logistics, service robotics, and autonomous exploration. With 6 citations to this key paper, his research is gaining recognition among peers working on evolutionary computation and robotic control. Feng’s contributions are particularly valuable for students and engineers seeking practical improvements to algorithm-based path planning, bridging theoretical optimization techniques with real-world robotic applications. His ongoing work continues to advance the reliability and intelligence of mobile systems, marking him as an emerging voice in the intersection of robotics and computational intelligence.