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.