Papers
2
Total Citations
7
H-Index
2
About
Trung Kien Pham is a robotics researcher whose work bridges the gap between theoretical control systems and real-world robotic applications. His primary research areas include adaptive control, human-robot interaction, and medical robotics, with a focus on developing intelligent systems that can operate reliably in uncertain environments. Pham’s most notable contribution is the development of an adaptive single-input recurrent wavelet cerebellar model articulation controller (WCMAC) for supervisory control of de-icing robot manipulators, a work that has garnered 4 citations and addresses the critical challenge of maintaining system accuracy and stability despite unpredictable real-world uncertainties. More recently, he has ventured into medical robotics, designing a humanoid robot dialogue system architecture specifically for patient interview tasks. This 2024 paper, with 3 citations, explores how humanoid robots can leverage their anthropomorphic features to effectively use verbal and behavioral cues during medical consultations, while carefully managing patient expectations. Pham’s work is particularly valuable for its practical focus on deploying robots in high-stakes environments, from infrastructure maintenance to healthcare, demonstrating how advanced control theory can be translated into functional, real-world robotic systems.
Research Focus
Key Achievements
Top Papers
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