Inspired by Barsalou’s Grounded Cognition theory, our research group focuses on designing artificial agents that learn language by leveraging sensory information derived from interacting with the world and with other agents. We explore the intersection of natural language processing, computer vision, robotics, and cognitive science to develop AI systems that can understand and interact with their environment in meaningful ways.

Our work spans multiple domains including:

• Embodied AI: Developing agents that can perceive and act in physical environments
• Situated Language Understanding: Creating systems that understand language in context
• Grounded Intelligence: Building AI that connects language to real-world experiences
• Human-Robot Interaction: Designing conversational AI for embodied applications
• Multimodal Learning: Integrating vision, language, and action for comprehensive understanding

Our research group is fortunate to work with talented PhD students who are pushing the boundaries of embodied and situated AI:

Amit Parekh Website

Sabrina McCallum Website

Malvina Nikandrou Website

George Pantazopoulos Website

Javier Chiya Garcia Website

Together, we are working on cutting-edge research that bridges the gap between language understanding and embodied experience, creating AI systems that can truly understand and interact with the world around them.