Hung Chih Teng
Papers
1
Total Citations
8
H-Index
1
About
Hung Chih Teng is a researcher whose work centers on mobile robotics, with a particular focus on localization and navigation algorithms. His most notable contribution is the development of an enhanced particle filter that integrates tournament selection and the Nelder-Mead simplex search, a method that significantly improves the accuracy and efficiency of robot localization in complex environments. This work, published in 2011, has garnered 8 citations and was recognized with the 100學年度研究獎補助論文 award, highlighting its impact within the academic community. Teng’s approach addresses critical challenges in probabilistic robotics, offering a robust solution for real-time position estimation. His research bridges theoretical algorithm design and practical robotic applications, making it valuable for students and engineers working on autonomous systems. By refining particle filter techniques, Teng has contributed to advancing the reliability of mobile robots in uncertain settings, a key step toward broader deployment in fields like logistics, exploration, and service robotics.
Research Focus
Key Achievements
Top Papers
- 1