Tung Ngo is a PhD researcher in Human-Robot Interaction at Technological University Dublin, specializing in the development of medical interpreter robots for healthcare settings. His research explores how reinforcement learning from human feedback (RLHF) can be used to teach humanoid robots to perform communicative gestures, with the goal of creating systems that interpret medical information more naturally and improve over time through continuous human interaction. By taking a human-centered approach to development, Tung’s work aims to ensure that robotic systems align closely with the real needs of patients, healthcare professionals, and interpreters. Tung is a member of the EUT+ Robotics Research Group. He obtained both his Master’s and Bachelor’s degrees (talented program) in Mechatronics from Hanoi University of Science and Technology, Vietnam. Prior to his PhD, Tung gained extensive experience across various areas of robotics, including reinforcement learning, SLAM, probabilistic robotics, and deep learning. He has also been actively involved in the hands-on development of robotic systems such as mobile robots, humanoid robots, and autonomous vehicles.
