[AI Seminar Series] Seminar by Prof. Yuke Zhu, Friday Oct.17th, 12-1pm, MRB Seminar Room

[Vassilis Tsotras]

The next AI Seminar will be next Friday October 17th, 12:00-1:00pm at the
MRB Seminar Room (1st floor).

*** Pizza and refreshments will be provided ****

To keep track of the number of attendees, please *register* at:
https://www.eventbrite.com/e/ai-seminar-series-tickets-1805849397159

The talk will be given by *Prof. Yuke Zhu*, Department of Computer Science,
UT-Austin

TITLE: Building Foundation Models for Generalist Humanoid Robots

ABSTRACT:
In an era of rapid AI progress, leveraging accelerated computing and big
data has unlocked new possibilities to develop generalist AI models. As AI
systems like ChatGPT showcase remarkable performance in the digital realm,
we are compelled to ask: Can we achieve similar breakthroughs in the
physical world — to create generalist humanoid robots capable of performing
everyday tasks? In this talk, I will present our data-centric research
principles and approaches for building general-purpose robot autonomy in
the open world. I will discuss our recent works leveraging real-world,
synthetic, and web data for training robotic foundation models. By
combining these advances with cutting-edge developments in humanoid
robotics, I will outline a roadmap for the next generation of autonomous
robots.


Bio:
Yuke Zhu is an Associate Professor in the Computer Science Department of
UT-Austin, where he directs the Robot Perception and Learning (RPL) Lab. He
is also a Director and Distinguished Research Scientist at NVIDIA Research,
where he co-leads the Generalist Embodied Agent Research (GEAR) lab. He
focuses on developing intelligent algorithms for generalist robots and
embodied agents to reason about and interact with the real world. He
obtained his Ph.D. degree from Stanford University. He received the NSF
CAREER Award, the IEEE RAS Early Academic Career Award, and various faculty
fellowships and research awards from Amazon, JP Morgan, and Sony Research.

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Sponsored by the RAISE at UCR Institute, the AI Seminar Series presents
speakers working on cutting edge Foundational AI or applying AI in their
research. The goal of these seminars is to inform the UCR community about
current trends in AI research and promote collaborations between faculty in
this emerging field. These seminars are open to interested faculty and
graduate/undergraduate students. Please forward this email to other
colleagues or students in your lab that may be interested. After the seminar a
discussion will follow for questions, open problems, ideas for possible
collaborations etc.

Sincerely,
Vassilis Tsotras
Professor, CSE Department
co-Director, RAISE at UCR Institute

Amit Roy-Chowdhury
Professor, ECE Department
co-Director, RAISE at UCR Institute
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