With the rapid progress of AI agents, digital transformation in materials R&D is entering a new stage beyond conventional data analysis and property prediction. In addition to literature surveys, candidate material exploration, first-principles calculations, machine-learning potentials, experimental condition planning, hypothesis generation, and decision-making support, Physical AI linked with robotic experiments is also becoming increasingly realistic. In this talk, I will introduce our recent efforts toward AI agents and autonomous materials exploration, and discuss the potential of human?AI collaboration in materials research and development.