Sheng-Po Huang
Papers
1
Total Citations
3
H-Index
1
About
Sheng-Po Huang is a robotics researcher specializing in adaptive decision-making systems for autonomous agents, with a particular focus on soccer robot platforms. His work bridges fuzzy logic control and real-time robotic behavior, most notably through his 2018 paper "Fuzzy Self-Adaptive Soccer Robot Behavior Decision System Design through ROS," which has accumulated 3 citations. In this study, Huang introduced a Fuzzy Decision Machine (FDM) that outperforms traditional finite state machines by leveraging flexible membership functions to generate robust, real-time strategies for dynamic environments. His key contribution lies in demonstrating how fuzzy logic can adaptively produce optimal decision actions without rigid pre-programmed rules, enabling soccer robots to respond more intelligently to unpredictable game scenarios. By implementing this system through the Robot Operating System (ROS), Huang provided a practical framework for integrating adaptive control into autonomous robotics. While his citation count reflects a focused, early-stage impact, his work offers a compelling foundation for researchers exploring behavior-based robotics, fuzzy control systems, and multi-agent coordination in competitive settings.
Research Focus
Key Achievements
Top Papers
- 1