Workshop


Autonomous systems, such as robots and self-driving cars, have rapidly evolved over the past decades. Recently, foundation models have emerged as a promising approach to building more generalist autonomous systems due to their ability to learn from vast amounts of data and generalize to new tasks. The motivation behind this workshop is to explore the potential of foundation models for autonomous agents and discuss the challenges and opportunities associated with this approach.

Contact


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Autonomous Grand Challenge

The field of autonomy is rapidly evolving, and recent advancements from the machine learning community, such as large language models (LLM) and world models, bring great potential. We believe the future lies in explainable, end-to-end models that understand the world and generalize to unvisited environments. In light of this, we propose seven new challenges that push the boundary of existing perception, prediction, and planning pipelines.

Check out the Challenge website for more details.



Challenge
Schedule Speakers Organizers Committee



Schedule (tentative)


Time zone:

Time Speaker Theme Content
Hongyang Li Opening Remarks: Autonomous Systems in the Era of Foundation Models -
Jeannette Bohg
Stanford, USA
TBD -
Ted Xiao
Google DeepMind, USA
TBD -
Track Organizers and Winners Winner Presentation -
Coffee Break ☕️ -
Sergey Levine
UC Berkeley, USA
TBD -
Track Organizers and Winners Winner Presentation -
Lunch Break 🍕 -
Adrien Gaidon
Toyota Research Institute, USA
TBD -
Track Organizers and Winners Winner Presentation -
Alex Kendall
Wayve, UK
TBD -
Coffee Break ☕️ -
Phil Duan [tentative]
Tesla, USA
TBD -
Li Chen
Shanghai AI Lab, China
TBD -
Organizers and Speakers Debate on Applications of Foundation Models -






Speakers



Sergey Levine

Associate Professor
UC Berkeley, USA

Jeannette Bohg

Assistant Professor
Stanford, USA

Adrien Gaidon

Head of Machine Learning
Toyota Research Institute, USA

Alex Kendall

Co-Founder & CEO
Wayve, UK

Ted Xiao

Senior Research Scientist
Google DeepMind, USA

Li Chen

Research Scientist
Shanghai AI Lab, China

Phil Duan [tentative]

Autopilot Vision Lead
Tesla, USA




Organizers



Hongyang Li

Shanghai AI Lab

Huijie Wang

Shanghai AI Lab

Kashyap Chitta

Univeristy of Tübingen

Holger Caesar

TU Delft

German Ros

NVIDIA

Fatma Güney

Koç University

Christos Sakaridis

ETH Zürich

Anthony Hu

Wayve

Dian Chen

Waabi

Hang Qiu

UC Riverside

Jiajie Xu

CMU




Steering & Award Committee


In alphabetical order of first names. More to come.


Alex Kendall

WayveCo-Founder & CEO

Andreas Geiger

Univeristy of TübingenHead of CS & Professor

Baoquan Chen

Peking UniversityAssociate Dean & BOYA Distinguished Professor

Huaxia Xia

MeituanChief Scientist & VP

Jianru Xue

Xi’an Jiaotong UniversityProfessor

Ya-Qin Zhang

Tsinghua UniversityAcademician of CAE & Chair Professor

Yu Qiao

Shanghai AI LabLead Scientist & Professor