Yiwei Feng
Papers
1
Total Citations
2
H-Index
1
About
Yiwei Feng is a researcher specializing in mobile robotics, with a primary focus on real-time path planning and obstacle detection in complex environments. Feng’s most notable contribution is the development of the line-generating obstacle detecting method (LGODM), a novel approach that enables robots to navigate safely through cluttered, unpredictable settings by leveraging certainty grids maps built through simultaneous localization and mapping (SLAM). This method is particularly powerful because it can handle obstacles of any shape, making it highly adaptable for real-world applications. Feng’s foundational work, “Real-time Path Planning Based on Certainty Grids Map in Complex Environments” (2007), has garnered 2 citations, serving as a stepping stone for subsequent research in autonomous navigation. While the citation count is modest, the conceptual innovation of LGODM has influenced later studies in robotic path planning and sensor integration. Feng’s research bridges theoretical mapping techniques with practical, real-time decision-making, offering valuable insights for students and engineers working on autonomous systems in dynamic, obstacle-rich environments.
Research Focus
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Top Papers
- 1