Follow Michael Beetz' talk on the exciting topic of digital twin knowledge bases. The term digital twins refers to virtual, AI-based images of physical objects in the real world. It is an emerging technology and plays a crucial role for the Industry 4.0 and the digitization of manufacturing in several domains. In retail, for example, digital twins show an exact digital replica of the store and warehouse and the location of each product. In his comprehensive talk, Michael Beetz focuses on the aspect of knowledge representation.
Digital Twin-enabled Knowledge Bases
Part 2: In his follow-up lecture, Michael Beetz gives a short recap of his first talk before further exploring knowledge representation and reasoning for robotic agents. He focuses on one of the main problems of human-scale manipulation tasks for robotic systems, action description, when it comes to the performance of abstract tasks like "pour the water out". From "grasp the pot by the handles" to "tilt the pot around the axis between the handles" to "hold the lid while pouring", every action includes multiple intermediate tasks that have to be described in detail for the robot.