Physical AI · Knowledge Engineering

The Physical AI · Knowledge Engineering Lab focuses on developing intelligent systems that connect knowledge, perception, reasoning, and physical action. Our research explores AI technologies for robots and autonomous systems, combining multimodal perception, knowledge representation, machine learning, foundation models, and intelligent computing. We investigate how AI can understand complex physical environments, build and use knowledge, and make robust decisions in real-world settings - from autonomous robots and agricultural systems to industrial and service applications. The laboratory brings together AI, robotics, embedded computing, and knowledge engineering to develop the next generation of intelligent machines that can perceive, reason, learn, and act.