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.

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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 -
Sergey Levine
UC Berkeley, USA
Robotic Foundation Models -
Sherry Yang
Google DeepMind, USA
Empower Empower Autonomous Systems with Internet-Scale Knowledge -
Coffee Break ☕️ -
Alex Kendall
Wayve, UK
TBD -
Autonomous Grand Challenge Part Ⅰ
  • Introduction (10 min)
  • End-to-End Driving at Scale
    • Innovation Award (10 min)
    • Outstanding Champion (10 min)
  • Predictive World Model
    • Innovation Award (10 min)
    • Outstanding Champion (10 min)
  • Occupancy and Flow
    • Innovation Award (10 min)
    • Outstanding Champion (10 min)
-
Lunch Break 🍕 -
Rares Ambrus
Toyota Research Institute, USA
Geometric Foundation Models for Embodied Applications -
Autonomous Grand Challenge Part Ⅱ
  • Introduction (10 min)
  • CARLA Autonomous Driving Challenge
    • Innovation Award (10 min)
  • Multi-View 3D Visual Grounding
    • Innovation Award (10 min)
  • Driving with Language
    • Innovation Award (10 min)
  • Mapless Driving
    • Innovation Award (10 min)
-
Andrei Bursuc
Valeo, France
TBD -
Coffee Break ☕️ -
Ted Xiao
Google DeepMind, USA
TBD -
Li Chen
Shanghai AI Lab, China
End-to-end Autonomou Driving -
Panel
Host: Christos Sakaridis
TBD -






Speakers



Sergey Levine

Associate Professor
UC Berkeley, USA

Alex Kendall

Co-Founder & CEO
Wayve, UK

Andrei Bursuc

Deputy Scientific Director
Valeo, France

Rares Ambrus

Head of Computer Vision
Toyota Research Institute, USA

Ted Xiao

Senior Research Scientist
Google DeepMind, USA

Sherry Yang

Senior Research Scientist
Google DeepMind, USA

Li Chen

Research Scientist
Shanghai AI Lab, China




Organizers



Hongyang Li

Shanghai AI Lab

Kashyap Chitta

Univeristy of Tübingen

Holger Caesar

TU Delft

German Ros

NVIDIA

Christos Sakaridis

ETH Zürich

Anthony Hu

Wayve