School students

THE SYNTAX OF ACTION

Path planning is a core problem in robotics. Lydia Kavraki developed a method called the Probabilistic Roadmap Method (PRM), which caused a paradigm shift in the robotics community. The approach introduced randomization schemes that exploited local geometric properties and produced efficient solutions without fully exploring the underlying search space.

There’s a common misconception that decisions made by computers are automatically unbiased – as opposed to those made by humans. However, Chad Jenkins pointed out many ways in which AI can fail to deliver fair and reasonable results. He pointed out what needs to be done in AI to get the intellectual domain right and how the technology and understanding researchers generate can have a positive impact on the world.

Jan Andersen is Head of Research Office at the University of Southern Denmark. He has a background in Computer Science and Danish Language. He has been working with research strategy and research planning. He was involved in building up four very successful research support units. He was an advisor for Rectors of the Danish Technical University, University of Copenhagen, and the former Royal Veterinary and Agricultural University. He was responsible for the cross-faculty follow-up of the Danish university merger in 2007.

The tools available at our disposal for solving some of the really hard problems our society is facing today are old, inadequate, and need to be deprecated. Everyone is looking to Artificial Intelligence based solutions like it’s the next gold rush, without understanding how Machine Learning actually works.

In this talk, I review the Soar cognitive architecture, including the motivation for cognitive architecture, the history of Soar, the applications it has been applied to, and our current research on Interactive Task Learning. I then discuss Soar from the standpoint of an open-source research project: positives, negatives, and challenges.

Wäre es nicht toll, wenn Roboter künftig in der Lage wären, Hausarbeiten für uns auszuführen? Genau das wollen Wissenschaftler weltweit erreichen, die an der Entwicklung von Robotern forschen. Dabei haben sie dasselbe Ziel: Roboter sollen von uns beauftragt werden können, Arbeiten auf natürliche Weise eine gewisse Zeit lang selbstständig auszuführen. Diese Aufträge sollen ganz alltägliche sein, wie eben zum Beispiel häusliche Arbeiten. Uns Menschen erscheinen solche Aufträge meistens ziemlich banal. Tätigkeiten wie Kochen oder Putzen sind für uns einfache Routine.

In diesem Artikel wird ein Überblick über das Konzept Probabilstic Robot Action Cores (PRAC) gegeben. Dieses erleichtert die Kommunikation zwischen Menschen und Robotern. Die Menschen neigen dazu, sich ungenau und doppeldeutig auszudrücken, wenn sie Anweisungen geben, aber Roboter benötigen
exakte und unmissverständliche Arbeitsaufträge. PRAC hilft, die menschlich formulierten Aufträge für Roboter
verständlich zu machen.