Dr.Craig Schlenoff

Industry 5.0 promises to have robots and people working side-by-side, accomplishing things that neither one would be able to do as well alone. But what will it take to make this happen? How can one ensure, and more importantly measure, the safety, efficiency, and effectiveness of a human-robot collaborative systems. What might the future of the manufacturing world look like? In this talk a vision of this future will be presented, highlighting work being performed at the National Institute of Standards and Technology as well as other efforts around the world.

Biography:

Dr. Craig Schlenoff is the Group Leader of the Cognition and Collaboration Systems Group, the Program Manager of the Measurement Science for Manufacturing Robotics Program, and the Project Leader of the Agility Performance of Robotic Systems project and the Embodied AI and Data Generation for Manufacturing project in the Intelligent Systems Division at the National Institute of Standards and Technology. His research interests include knowledge representation/ontologies, intention recognition, and performance evaluation of autonomous systems and industrial robotics. He has led multiple million-dollar projects addressing 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, guest edited three books, and written four book chapters. He is the co-chair of the NITRD Artificial Intelligence Interagency Working Group, the Associate Vice President for Standardization in the IEEE Robotics and Automation Society, the co-chair of the IEEE Robot Task Representation Working Group, and was previously the chair of the IEEE Ontology for Robotics and Automation Working Group. He has also served as the Program Manager for the Process Engineering Program at NIST and the Director of Ontologies at VerticalNet. He also teaches two courses at the University of Maryland, College Park: “Calculus” and “Building a Manufacturing Robot Software System.” He received his Bachelor’s degree from the University of Maryland, his Master’s degree from Rensselaer Polytechnic Institute (both in mechanical engineering), and his PhD from the University of Burgundy in computer science.