The Embodied Mobile Agents group focuses on advancing mobile robot learning and embodied intelligence, with an emphasis on human-centric and agentic AI systems. Our expertise spans reinforcement learning, learning from demonstration, and sim-to-real transfer for quadrupeds, humanoids, and mobile manipulators. We develop Vision-Language-Action (VLA) models and natural language task interfaces that enable intuitive collaboration between humans and robots. Applications range from rehabilitation robotics and assistive mobility to construction training and digital twinning, and to safe and adaptive humanoid systems in healthcare workflows. By combining cutting-edge machine learning with applied, interdisciplinary research, we aim to create embodied AI that is intuitive, adaptive, and socially relevant.