Intelligent Systems: Perception - Action - Learning
Intelligent systems are capable to operate successfully in a complex, sometimes changing environment.
The goal of the Institute will be to investigate and understand the organizing principles of existing autonomous (intelligent) systems that successfully interact with complex environments.
The concept is inspired by the observation that biological systems have developed sophisticated abilities through interaction, evolution and learning in order to act successfully in a complex environment, and that a similar approach — although poorly understood so far — should be taken towards the study of synthesizing autonomous learning systems. An understanding of those systems may be used to design future systems, also for synthetic (artificial) and biohybrid systems. With physical systems ranging from nano to macro scales, as well as theoretical and algorithmic work, the institute will deal with issues in perception, action and learning.
The newly formed MPI for Intelligent Systems covers two sites. While in Stuttgart work will be done on the materials aspect of the new topics, the Tübingen part will concentrate on the computational aspects.
The institute has a worldwide unique selling point, since it first combines – under one roof - software and materials expertise in three areas of intelligent systems. So-called learning material systems, micro-and nano-robotics and self-organization will be studied in Stuttgart. The Tübingen location will cover machine learning, image recognition, and autonomous motion.
Although the emphasis is on basic research, the institute has a high potential for practical applications including in robotics, in the innovative medical technology and in technologies that are based on new materials.