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DTSTART;TZID=America/Chicago:20260601T103000
DTEND;TZID=America/Chicago:20260601T113000
DTSTAMP:20260602T214542Z
SUMMARY:Guo Ye CS PhD Final Defense: Embodied AI: Method\, Simulation & System
UID:642643@northwestern.edu
TZID:America/Chicago
DESCRIPTION: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. \n\nWebcast Link: https://northwestern.zoom.us/j/9942607202
LOCATION:Mudd Hall ( formerly Seeley G. Mudd Library)\, Mudd 3514\, 2233 Tech Drive\, Evanston\, IL 60208
TRANSP:OPAQUE
URL:https://planitpurple.northwestern.edu/event/642643
CREATED:20260527T050000Z
STATUS:CONFIRMED
LAST-MODIFIED:20260527T050000Z
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