Papers
7
Total Citations
46
H-Index
4
About
Mai Ngoc Anh is a pioneering robotics researcher whose work bridges artificial intelligence, human-robot interaction, and industrial automation. Her primary research areas include voice-controlled robotic systems, inverse kinematics, and behavior-based mobile robot control. Her most influential work, "Voice Recognition and Inverse Kinematics Control for a Redundant Manipulator Based on a Multilayer Artificial Intelligence Network" (17 citations), introduced a groundbreaking Vietnamese voice recognition module integrated with deep learning for robotic arm control—a significant contribution to accessible human-robot interfaces. She has also made substantial contributions to industrial robotics, optimizing feed rates and determining joint torques for welding robots like the TA 1400, with her 2020 paper earning 8 citations. Her development of the VieBot humanoid mobile robot showcases her modular design philosophy, enabling scalable robot behaviors. Notably, her 2012 work on fuzzy logic-based control architectures (9 citations) established a foundational framework for collision-free navigation and goal-oriented path planning. Through her innovative use of Microsoft Kinect for gesture-based control and her systematic approach to robot dynamics, Mai Ngoc Anh continues to advance both service robotics and industrial automation, with her research accumulating over 46 citations across her most-cited works.
Research Focus
Key Achievements
Top Papers
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- 6A modular design process for developing humanoid mobile robot VieBot2 citations · 2018
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