Papers
9
Total Citations
71
H-Index
5
About
Chang-Huan Liu is a robotics and control systems researcher whose career spans several decades, with foundational contributions to the dynamics, control, and real-time computation of robotic manipulators. Beginning in the mid-1980s, Liu established early expertise in adaptive control strategies and manipulator dynamics, producing influential survey-style work that unified contemporary research in gross motion control. His most impactful contributions emerged in the early 1990s, when he developed practical methods for online Cartesian path trajectory planning — approximating complex spatial paths through recursive joint trajectories — and designed sophisticated feedforward-feedback control architectures for industrial robots with flexible joints, works that together garnered nearly 40 citations. Liu also made significant strides in parallel computation for robotics, designing and implementing multiprocessor systems capable of real-time inverse dynamics computation using the Newton-Euler algorithm, demonstrating a rare bridge between theoretical control design and embedded hardware engineering. Later work extended his interests to mobile robots, biped locomotion, and induction servo drives. Across his career, Liu's research reflects a consistent focus on making advanced robotic control computationally feasible and industrially deployable, earning him a respected place in the applied robotics literature.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5Biped robot with triangle configuration6 citations · 2012
- 6Control method and motion path simulation of a mobile robot2 citations · 2010
- 7An adaptive control strategy for robotic manipulators2 citations · 1985
- 8
- 9The dynamics and control of robotic manipulators2 citations · 1985