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

Contact us via [email protected]

Join discussions in our WeChat group: 关于我们 -> 加入社群

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.

Schedule (tentative)

Time zone:

Speaker	Theme	Content
Hongyang Li	Opening Remarks: Autonomous Systems in the Era of Foundation Models	-
Sergey Levine UC Berkeley, USA	TBD	-
Sherry Yang Google DeepMind, USA	TBD	-
Coffee Break	☕️	-
Alex Kendall Wayve, UK	TBD	-
Autonomous Grand Challenge Part Ⅰ Host: Huijie Wang	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	🍕	-
Adrien Gaidon Toyota Research Institute, USA	TBD	-
Autonomous Grand Challenge Part Ⅱ Host: Chonghao Sima	Introduction (10 min) Multi-View 3D Visual Grounding Innovation Award (10 min) CARLA Autonomous Driving Challenge Innovation Award (10 min) Driving with Language Innovation Award (10 min) Mapless Driving Innovation Award (10 min)	-
Ted Xiao Google DeepMind, USA	TBD	-
Coffee Break	☕️	-
TBD	TBD	-
Li Chen Shanghai AI Lab, China	End-to-end Autonomou Driving	-
Panel Host: Christos Sakaridis	TBD	-