University of California, San Diego
Mode: Hybrid. Seats for on-site participants are limited. A confirmation email will be sent to participants who have successfully registered.
Embodied AI is a rising paradigm of AI that targets enabling agents to interact with the physical world. Embodied agents can acquire a large amount of data through interaction with the physical world, which makes it possible for agents to close the perception-cognition-action loop and learn autonomously from the world to revise its internal model. In this talk, I will present the work of my group to build an eco-system towards building embodied AI.
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