October 14-16, 2025 | Sydney, Australia
With the advances in sensing, communications, and computing, autonomous intelligence in networked mobile systems drives the rapid growth of the emerging economic ecosystem encompassing low-altitude airspace activities, called the low-altitude economy. As the utilization of low-altitude airspace is explored, many low-altitude applications, such as logistics, agricultural monitoring, transportation, and surveillance, have received attention. The low-altitude economy framework typically relies on communication and task coordination between mobile platforms (drones, robots, vehicles, etc.), base stations, mobile devices, and communication infrastructure. Coordination between them requires advanced autonomous intelligence that is capable of enabling connected systems to operate independently without direct human intervention. Recently, as AI/ML techniques are rapidly developed, autonomous intelligence created by integrating multi-modal sensing data with advanced communication and computing systems has boosted many promising applications, such as UAV swarms, mobile navigation, and mission-oriented robotic teams. Emerging techniques to enable self-governance, cross-modal awareness, adaptive learning, collaborative behavior, cross-domain inference, cross-entity interaction, and communication are important technical features in autonomous systems.
The topics of interest include but are not limited to the following::