Anh Tuan Phan

Hanoi University of Science and Technology

Papers

Total Citations

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About

Dr. Anh Tuan Phan is a robotics researcher specializing in industrial automation, kinematics, and advanced control systems. His work focuses on optimizing robotic performance in manufacturing environments, particularly through trajectory tracking and dynamic modeling. Dr. Phan’s most cited paper, "Optimize the Feed Rate and Determine the Joints Torque for Industrial Welding Robot TA 1400" (2020, 8 citations), demonstrates his expertise in applying kinematics and dynamics to improve welding robot efficiency. He has made notable contributions to dual-arm robot control, with two highly cited papers (2019, 7 citations; 2020, 4 citations) introducing a Dynamic Surface Controller (DSC) that enhances trajectory tracking. This DSC algorithm innovatively integrates backstepping techniques with low-pass filters to reduce chattering and improve stability—a significant advancement for collaborative robotic systems. Dr. Phan’s work bridges theoretical control design and practical industrial application, with his research cited by peers working on robotic manipulation and automation. His achievements include developing robust controllers that enable smoother, more precise movements for dual-arm manipulators, directly impacting manufacturing precision and safety. For students and researchers, Dr. Phan’s publications offer clear, implementable solutions to real-world robotic control challenges.