Hung‐Yuan Chung

About

Hung-Yuan Chung is a robotics and intelligent control researcher whose work spans mobile robot navigation, legged locomotion, and fuzzy-based control systems. His research is particularly distinguished by the creative integration of bio-inspired algorithms and soft computing techniques to solve real-world autonomous robot challenges. Chung's most influential contribution, an approach combining Particle Swarm Optimization with fuzzy control for wheeled mobile robot navigation (22 citations), demonstrated how swarm intelligence could enhance collision-free path planning in unknown environments. His development of an intelligent service robot capable of object recognition, localization, and autonomous transport further showcased his commitment to practical robotics applications. Chung has also made notable advances in hexapod locomotion, designing Central Pattern Generator architectures inspired by biological neural oscillators to enable adaptive walking across complex terrains. On the theoretical side, his early work on hierarchical fuzzy logic control and Takagi-Sugeno fuzzy region controllers established robust frameworks for managing nonlinear systems under parametric uncertainty. Across his career, his publications have accumulated roughly 87 citations, reflecting steady influence in the intelligent robotics community and offering valuable methodological foundations for researchers pursuing autonomous systems, adaptive locomotion, and intelligent control design.

Research Focus

Key Achievements

Top Papers

1. 1
   Automatic Navigation of a wheeled mobile robot using Particle Swarm Optimization and Fuzzy Control

   22 citations · 2013
2. 2
   An intelligent service robot for transporting object

   13 citations · 2013
3. 3
   Using ABC and RRT algorithms to improve mobile robot path planning with danger degree

   13 citations · 2016
4. 4
   Design of Hierarchical Fuzzy Logic Control for Mobile Robot System

   12 citations · 2006
5. 5
   Hexapod moving in complex terrains via a new adaptive CPG gait design

   8 citations · 2015
6. 6
   A CPG-inspired controller for a hexapod robot with adaptive walking

   5 citations · 2014
7. 7
   Fuzzy sliding‐mode control with rule adaptation for nonlinear systems

   5 citations · 2006
8. 8
   An Effective Hexapod Robot Control Design Based on a Fuzzy Neural Network and a Kalman Filter

   4 citations · 2018
9. 9
   Design of Takagi-Sugeno Fuzzy Region Controller Based on Rule Reduction, Robust Control, and Switching Concept

   3 citations · 2006
10. 10
    Wheeled robot navigation and local-map building in unknown environments

    2 citations · 2013

Key Collaborators

Contact & Links