Knowledge Representation & Reasoning in Industrial Robotics

At the 2022 EASE Fall School hosted by the Institute for Artificial Intelligence at the University of Bremen, research scientist Benjamin Alt presented our vision of hybrid AI for industrial robotics.

The talk showcases how structured knowledge representations and reasoning algorithms can be combined with deep learning to enable robots to learn from demonstration or experience. By using task and domain knowledge, AI-optimized robot behavior remains explainable and is ready for use in industrial applications.