Yeong‐Hwa Chang

About

Yeong-Hwa Chang is a distinguished researcher whose work spans robotics, control systems, and intelligent computing, with particular expertise in multi-robot coordination, fault-tolerant control, and fuzzy logic-based frameworks. Over a career stretching from the early 1990s to the present, Chang has made foundational contributions to both theoretical and applied robotics. His most celebrated work, a 2011 paper on fuzzy sliding-mode formation control for multirobot systems (103 citations), established robust methodologies for decentralized multi-agent coordination under real-world uncertainties and disturbances — a challenge central to modern autonomous systems. This theme of resilient multi-robot collaboration continued through subsequent research on adaptive fault-tolerant formation control, leader-follower architectures, and dynamic surface control techniques, collectively addressing critical challenges in actuator failures and system robustness. Chang has also demonstrated a strong applied dimension, integrating deep learning and ROS-based platforms into mobile robot perception and assistive technology — notably developing a smart walker system for elderly users. His early work on online Cartesian path trajectory planning for robotic manipulators further reflects a career-long commitment to bridging theoretical elegance with practical implementation. With over 235 cumulative citations, Chang's research continues to meaningfully shape autonomous robotics and intelligent control systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Fuzzy Sliding-Mode Formation Control for Multirobot Systems: Design and Implementation

   103 citations · 2011
2. 2
   Deep learning for object identification in ROS-based mobile robots

   29 citations · 2018
3. 3
   Online approximate Cartesian path trajectory planning for robotic manipulators

   20 citations · 1992
4. 4
   Adaptive Distributed Fault-tolerant Formation Control for Multi-robot Systems under Partial Loss of Actuator Effectiveness

   17 citations · 2018
5. 5
   ROS-Based Smart Walker with Fuzzy Posture Judgement and Power Assistance

   14 citations · 2021
6. 6
   Adaptive Neuro-Fuzzy Formation Control for Leader-Follower Mobile Robots

   13 citations · 2013
7. 7
   Adaptive dynamic surface control for fault-tolerant multi-robot systems

   13 citations · 2013
8. 8
   Adaptive output-feedback fault-tolerant tracking control for mobile robots under partial loss of actuator effectiveness

   11 citations · 2015
9. 9
   Leader-following formation control of multi-robot systems with adaptive fuzzy terminal sliding-mode controller

   8 citations · 2013
10. 10
    Vision-Based Obstacle Detection for Mobile Robot in Outdoor Environment.

    7 citations · 2018

Key Collaborators

Contact & Links