Seminar: Physical AI: Embodied Intelligence and Real-World Interaction

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• 3 Credit Hours

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Course Name: Seminar: Physical AI: Embodied Intelligence and Real-World Interaction
Current Code: CS-8001
Credit Hours: 3 credits
Available To: OMSCS
Description: This advanced graduate seminar explores the emerging field of Physical AI, where artificial intelligence systems are embodied in physical agents that perceive, reason about, and interact with the real world. Students will examine the intersection of robotics, computer vision, machine learning, and control theory to understand how AI systems can operate effectively in unstructured, dynamic environments. The course covers foundational concepts, current research challenges, and practical applications spanning humanoid robots, autonomous vehicles, manipulation systems, and beyond. Through a combination of paper discussions, guest lectures from industry and academia, and hands-on projects, students will gain deep insights into the unique challenges of deploying AI in physical systems, including real-time constraints, safety considerations, multimodal perception, and the integration of learning with classical control approaches.
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