Introduction
Autonomous systems, such as robots and self-driving cars, have rapidly evolved over the past decades. Despite this, several problems remain. Attempts have been made to develop more capable autonomous systems, such as integrating foundation models and utilizing large-scale data. However, the challenging problems have yet to be solved.
The motivation behind this workshop is to explore potential solutions, and discuss the challenges and opportunities associated with these approaches. We believe that this workshop serves as a brand-new perspective on the present and future of autonomous systems, and is necessary for both the robotics and computer vision communities.
Join
If you are interested in our workshop, please mark the workshop in your CVPR registration, to have enough space for the workshop room.
Contact
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Contact us via [email protected] -
Join Discord to chat with the organizers
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Join discussions in our WeChat group
Schedule
Full-day workshop. The schedule is to be announced.
Speakers
Jitendra Malik
Abhinav Gupta
Felix Heide
David Crandall
Vincent Vanhoucke
Antonio Loquercio
Fatma Güney
Organizers
Hongyang Li
The University of Hong Kong
Kashyap Chitta
University of Tübingen
Andrei Bursuc
Valeo
Christos Sakaridis
ETH Zürich
Jonah Philion
University of Toronto
Florent Bartoccioni
Valeo
Ana-Maria Marcu
Wayve
Huijie Wang
OpenDriveLab
Diversity, Equity, and Inclusion
Many of the greatest ideas come from a diverse mix of minds, backgrounds, and experiences. We provide equal opportunities to all participants without regard to nationality, affiliation, race, religion, color, age, disability, or any other restriction. We believe diversity drives innovation. When we say we welcome participation from everyone, we mean everyone.