School of Engineering

Embodied Mobile Agents

“Physical AI is already revolutionizing industries. The question is no longer whether a robot or an AI agent can do something, but how much it will cost and how efficiently it can learn new skills. We develop robots that learn from people and adapt to the real world, so that intelligence in the physical world becomes dependable enough to leave the lab.”

Dr. Jorge Pena Queralta

Expertise and Services

Expertise

  • Reinforcement learning, adaptive control, and mobile robot learning
  • Foundation models in mobile robotics (e.g., vision-language-action models and natural language interfaces)
  • Learning from demonstration and sim-to-real transfer
  • Human-centric and agentic AI for intuitive human–robot collaboration

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.

Services

Additional Information

Beyond our research projects:

Team

Projects

Publications