Track, Learning, Decision and Control Systems (LDCS)
This track is focused on theoretical analysis of decision and control systems, both model based approaches from classical AI and control theory and data driven ones from machine learning.
Track, Robotics and Autonomous Systems (RASM)
This track is aimed towards autonomous mobile systems acting in a dynamic environment, such as robots, drones and self driving cars. Such systems need to make rational decisions based on complex sensor data from cameras or laser scanners, in order to reach both short and long term goals in a changing world.