Ce Hao
Papers
1
Total Citations
16
H-Index
1
About
Ce Hao is an emerging researcher in the field of autonomous robotics and intelligent navigation systems. His work centers on the critical challenge of mobile robot path planning — a foundational problem in robotics that determines how autonomous agents navigate complex environments safely and efficiently. His most notable contribution, published in 2019, presents an innovative hybrid approach that combines the classical A\* algorithm with Artificial Potential Field (APF) methods, effectively addressing the individual limitations of each technique. The A\* algorithm provides globally optimal route planning, while the APF component enables dynamic, real-time obstacle avoidance — together creating a more robust and practical navigation framework. This work has garnered 16 citations, reflecting its relevance and utility within the robotics research community, particularly among scholars working on autonomous vehicles, warehouse automation, and service robotics. While still building his research profile, Ce Hao's contribution demonstrates a thoughtful integration of classical and modern computational methods, offering a meaningful stepping stone for researchers seeking reliable and efficient solutions to real-world mobile robot navigation challenges.
Research Focus
Key Achievements
Top Papers
- 1