Mr. Phuoc Thien Do | Machine Learning in Physics | Research Excellence Award 

Incheon National University | South Korea

Mr. Phuoc Thien Do is a Ph.D. researcher in Mechanical Engineering at Incheon National University (INU), Republic of Korea, where he is currently pursuing advanced research in the fields of soft robotics, unmanned aerial vehicles (UAVs), intelligent robotic grippers, and autonomous indoor and outdoor navigation systems. He received his M.Sc. in Mechanical Engineering from Incheon National University in 2024 and his B.Sc. in Mechanical Engineering from Ho Chi Minh City University of Technology (HCMUT), Vietnam, in 2021. His academic background reflects a strong integration of mechanical design, intelligent control, and robotics-oriented problem solving. His research primarily focuses on the development and modeling of soft robotic systems, including pneumatic actuators, tendon-driven grippers, and shape-adaptive robotic fingers with variable stiffness. He has contributed significantly to the design and kinematic modeling of soft pneumatic actuators, proposing forward kinematics-based prediction methods to accurately estimate bending motion under varying air chamber configurations. His work extends to smart material applications, particularly shape memory alloy (SMA)-actuated systems, where he has explored temperature control strategies using deep reinforcement learning to improve the performance and reliability of tendon-driven robotic grippers.

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Phuoc Thien Do | Machine Learning in Physics | Research Excellence Award

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