Chih-Hao Chiang

About

Dr. Chih-Hao Chiang is a leading researcher in intelligent robotics and autonomous systems, specializing in the development of advanced control strategies for wheeled and redundant robots. His work bridges evolutionary computation, fuzzy logic, and neural networks to achieve robust, real-time tracking control. Dr. Chiang’s most-cited contributions include a backstepping holonomic tracking controller for wheeled robots, enhanced by an evolutionary fuzzy system with qualified ant colony optimization (14 citations), and an evolutionary radial basis function neural network leveraging robust genetic-based immune computing for online autonomous robot control (13 citations). He further advanced the field with an optimal fuzzy controller design using evolutionary strategy-based particle swarm optimization for redundant wheeled robots (11 citations). These innovations demonstrate his ability to integrate bio-inspired algorithms with classical control theory, significantly improving robot adaptability and precision in dynamic environments. Dr. Chiang’s work is highly regarded for its practical impact on autonomous navigation and intelligent system design, making him a key figure in modern robotics research.

Research Focus

Key Achievements

Top Papers

1. 1
   Backstepping Holonomic Tracking Control of Wheeled Robots Using an Evolutionary Fuzzy System with Qualified Ant Colony Optimization

   14 citations · 2016
2. 2
   An Evolutionary Radial Basis Function Neural Network with Robust Genetic-Based Immunecomputing for Online Tracking Control of Autonomous Robots

   13 citations · 2015
3. 3
   Optimal Fuzzy Controller Design Using an Evolutionary Strategy-Based Particle Swarm Optimization for Redundant Wheeled Robots

   11 citations · 2015

Key Collaborators

Contact & Links