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Guo Ye CS PhD Final Defense: Embodied AI: Method, Simulation & System

Monday, June 1, 2026 | 10:30 AM - 11:30 AM CT
Mudd Hall ( formerly Seeley G. Mudd Library), Mudd 3514, 2233 Tech Drive, Evanston, IL 60208 map it
Webcast Link (Hybrid)

Embodied AI promises agents that perceive, reason, and act in the physical world, yet realizing such agents demands more than algorithmic novelty. Progress at the frontier increasingly depends on the co-design of three tightly coupled layers: the methods that learn behavior, the simulation infrastructure that supplies the data and experience to learn from, and the systems that bridge learned policies to physical hardware. This dissertation argues that the next generation of embodied-AI researchers must be full-stack roboticists, fluent across all three layers, and presents my previous works that together trace this thesis. 

Audience

  • Faculty/Staff
  • Student
  • Post Docs/Docs
  • Graduate Students

Contact

Jensen Smith
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Interest

  • Academic (general)

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