Chih‐Fu Chang
Papers
9
Total Citations
81
H-Index
5
About
Chih-Fu Chang is a robotics and autonomous systems researcher whose work spans mobile robot localization, nonlinear control, multi-robot coordination, and human-robot coexistence. His most influential contribution, a fuzzy adaptive extended information filtering (FAEIF) framework for ultrasonic self-localization of autonomous mobile robots, has garnered 25 citations and established a robust methodology for addressing sensor noise and divergence challenges in real-world robot navigation. Complementing this, his laser-based pose tracking work further demonstrates the versatility of the FAEIF approach across sensing modalities. Chang has made significant strides in nonlinear control theory, proposing novel controllers for wheeled mobile robots with nonholonomic constraints that simultaneously handle position and torque tracking. His formation control framework, grounded in Lyapunov stability analysis, extends these principles to multi-robot teams navigating dynamic connection structures. Beyond control theory, his human-centered navigation algorithm reflects a forward-thinking commitment to harmonious human-robot coexistence in shared environments — a topic of growing relevance in modern robotics. His later research on 7-DOF manipulator trajectory planning and cooperative multi-robot exploration using minimal information entropy highlights a sustained evolution toward complex, real-world robotic applications. Collectively, Chang's body of work, accumulating over 80 citations, reflects a career dedicated to bridging rigorous theoretical control design with practical autonomous systems engineering.
Research Focus
Key Achievements
Top Papers
- 1
- 2Nonlinear control of a wheeled mobile robot with nonholonomic constraints14 citations · 2004
- 3Trajectory planning and control of a 7-DOF robotic manipulator10 citations · 2014
- 4
- 5
- 6A formation control framework based on Lyapunov approach5 citations · 2008
- 7
- 8
- 9DYNAMIC GAME-BASED ANALYSIS FOR A HYBRID MULTI-AGENT ROBOTIC SYSTEM2 citations · 2007