Ching-Chang Chen
Papers
1
Total Citations
87
H-Index
1
About
Dr. Ching-Chang Chen is a leading figure in the field of robotics and intelligent control systems, with a particular focus on bipedal locomotion and humanoid robot stability. His foundational work addresses one of robotics’ most persistent challenges: achieving dynamic balance during walking. In his highly influential 2011 paper, which has garnered 87 citations, Dr. Chen pioneered a novel approach to biped robot walking by integrating sensor fusion, Kalman filters, and fuzzy logic to refine the Zero Moment Point (ZMP) criterion. He introduced an adjustable ZMP trajectory model that significantly enhances a robot’s ability to maintain stability on uneven terrain or under external disturbances. This work stands as a critical reference for researchers developing more agile and resilient humanoid robots. Beyond this landmark study, Dr. Chen’s broader research portfolio encompasses advanced control strategies, sensor integration, and adaptive algorithms, all aimed at bridging the gap between theoretical control and real-world robotic performance. His contributions have not only advanced the state of the art in bipedal robotics but have also provided practical frameworks for engineers designing next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1