Dr Vien's research focuses on looking for the bridge among machine learning and artificial intelligence techniques with robot learning and motion planning. His broad research interest lies in three main topics:

• Intelligent Systems: Reinforcement learning, policy search, deep reinforcement learning, planning under uncertainty (POMDPs), learning from human feedback;
• Machine Learning: Probabilistic modeling, deep learning, Bayesian inference, active learning;
• Robotics: Motor skill learning, movement primitives, manipulation under uncertainty, model learning, motion planning, optimal control, and human-robot interaction