EVENT DETAILS
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.
TIME Monday June 1, 2026 at 10:30 AM - 11:30 AM
LOCATION Mudd 3514, Mudd Hall ( formerly Seeley G. Mudd Library) map it
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CONTACT Jensen Smith jensen.smith@northwestern.edu
CALENDAR Department of Computer Science (CS)