Living lab for the transfer of digital health applications and AI into healthcare
Risk-aware robot systems with active learning strategies
Space missions are complex and expensive endeavors, which are always associated with considerable risks. Due to the harsh environmental conditions and the highly complex robotic systems, safe and conservative decisions are made by a ground station to minimize risk. However, this prevents the robotic systems from reaching their full potential.
In the previous intelliRISK project, a system was developed to let the robot assess the risks on-site and thus create comprehensive self- and environmental awareness. Based on this, the robot has learned to adapt its behavior in a risk-aware manner. The effort for mission control can thus be significantly reduced. With intelliRISK 2, the results from intelliRISK will be continued and the self- and environmental awareness of robots expanded. By means of active learning strategies and retrospectives on activities carried out, the robot should be able to learn from its actions and thereby continuously improve itself.
Division: Intelligent Systems and Production Engineering
Applied Artificial Intelligence
In this research focus, the FZI prioritizes the topics of Artificial Intelligence (AI) as well as human and AI engineering. In addition, the FZI deals with questions on dedicated AI hardware and predictive AI.