Introduction


In this tutorial, we explore the intersection of AGI technologies and the advancement of autonomous systems, specifically in the field of robotics. We invite participants to embark on an investigative journey that covers essential concepts, frameworks, and challenges. Through discussion, we aim to shed light on the crucial role of fundamental models in enhancing the cognitive abilities of autonomous agents. Through cooperation, we aim to chart a path for the future of robotics, where the integration of AGI enables autonomous systems to push the limits of their capabilities and intelligence, ushering in a new era of intelligent autonomy.


Contact


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Schedule (tentative)


Time zone:

Time Speaker Theme Content
Hongyang Li Opening Remarks -
Kristen Grauman
University of Texas at Austin, USA		 Egocentric 4D Perception (Ego4D) - The World's Largest Egocentric Video ML Dataset and Benchmark Suite -
Deva Ramanan
CMU, USA		 TBD -
Coffee Break ☕️ -
Chelsea Finn
Stanford, USA		 TBD -
Kashyap Chitta
Univeristy of Tübingen, Germany		 Hands-on Experience on CARLA Garage, tuPlan Garage, and NAVSIM -






Speakers



Kristen Grauman

Professor
University of Texas at Austin, USA

Deva Ramanan

Professor
CMU, USA

Chelsea Finn

Assistant Professor
Stanford University, USA

Kashyap Chitta

Research Scientist
Univeristy of Tübingen, Germany




Organizers



Li Chen

Shanghai AI Lab

Andreas Geiger

Univeristy of Tübingen

Huijie Wang

Shanghai AI Lab

Jiajie Xu

CMU