EPISODE · Oct 16, 2019 · 36 MIN
How to make robotics systems more agile and easily adaptable w/Craig Schlenoff
from Wevolver Robots in Depth · host Richard Hulskes
Craig Schlenoff is the Group Leader of the Cognition and Collaboration Systems Group and the Acting Group Leader of the Sensing and Perception Systems Group in the Intelligent Systems Division at the National Institute of Standards and Technology. He is also the Associate Program Manager of the Robotic Systems for Smart Manufacturing Program and the Agility Performance of Robotic Systems Project Leader.His research interests include knowledge representation/ontologies, intention recognition, and performance evaluation techniques applied to manufacturing robotic systems. He has led multiple million-dollar projects, dealing with performance evaluation of advanced military technologies and agility performance of manufacturing robotic systems. He has published over 150 journal and conference papers, guest edited three journals, and written two book chapters.He is currently the chair of the IEEE Ontology for Robotics and Automation Working Group and has previously served as the program manager for the Process Engineering Program at NIST and the Director of Ontologies at VerticalNet. He received his Bachelors degree from the University of Maryland and a Masters degree from Rensselaer Polytechnic Institute, both in mechanical engineering, and a PhD from the University of Burgundy, France in computer science.Promote your company in our podcast?If you are interested in sponsoring the podcast, you can contact us at [email protected]
What this episode covers
Craig Schlenoff talks about ontologies and the significance of formalized knowledge for agile robotics systems that can quickly and even automatically adapt to new scenarios. Host: Per Sjöborg, Robots in Depth #9 supported by http://www.aptomica.com. To make robotics systems more agile and easily adaptable to new tasks is very important for robotics to expand beyond large manufacturing settings. Small organizations using robots have new and different needs. They need the robots they use to more easily adapt to their quickly changing needs. Good ontologies and formalized knowledge makes this possible. It might even make it possible to automate the automation.
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How to make robotics systems more agile and easily adaptable w/Craig Schlenoff
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