Papers
14
Total Citations
192
H-Index
7
About
Dr. Cao Van Kien is a leading researcher in the field of advanced robotics, specializing in the intelligent control of pneumatic artificial muscle (PAM) actuators and bipedal locomotion. His work masterfully integrates neural networks, evolutionary optimization, and adaptive control to solve complex, nonlinear challenges in robotic systems. Dr. Kien’s most impactful contribution is his novel adaptive feed-forward-PID controller for a SCARA parallel robot, which, optimized by a modified differential evolution algorithm and neural networks, has garnered 73 citations. He has also made significant strides in humanoid robotics, developing adaptive gait generators that enable stable, nature-like walking patterns. His innovative application of the multi-objective JAYA algorithm for biped gait planning (17 citations) and his work on advanced sliding mode control for underactuated systems like the Pendubot demonstrate his versatility. With a total of over 180 citations across his top works, Dr. Kien’s research is foundational for creating more efficient, robust, and human-like robotic systems, bridging the gap between theoretical control theory and practical robotic applications.
Research Focus
Key Achievements
Top Papers
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- 3Adaptive Neural Compliant Force-Position Control of Serial PAM Robot27 citations · 2017
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- 10Advanced Flywheel-based Balance for Biped Robot Stably Walking3 citations · 2022