EECS500 Spring 2017 Department colloquium

Jeremy A. Marvel, Ph.D.
Collaborative Robotics Tools and Metrology: An Industry Perspective
National Institute of Standards and Technology
White 411
11:30 AM - 12:30 PM
March 21, 2017

As global demands for manufacturing increase, the throughput and quality requirements pushed onto small and medium-sized enterprises (SMEs) is rapidly approaching the production limits capable by manual labor alone.  Moving into the future, it is expected that manufacturing enterprises must adopt increasingly automated and agile practices to remain competitive both locally and abroad.  Collaborative robots--robots specifically designed to safely work around humans--represent a low-risk gateway solution to transitioning from historically manual processes to partial automation, but are still difficult to use, integrate, and maintain.  While the skills of the labor force are expected to increase in the coming years, the collaborative capabilities of next-generation industrial robots must evolve to bridge the technology gap.  In this talk, Dr. Jeremy Marvel from the U.S. National Institute of Standards and Technology (NIST) will discuss work in advancing industrial collaborative robot technology through measurement science.  Dr. Marvel will present an overview and some initial metrology results from NIST’s ongoing Performance of Collaborative Robot Systems project, as well as ongoing research from NIST’s Tools for Collaborative Robots in SME Workcells project.  Focal topics include collaborative robot safety, heterogeneous coordination tools for multi-agent assembly, simplified frameworks for robotic system registration, and the performance and safety of mobile manipulators (robotic arms mounted on mobile platforms).


Jeremy A. Marvel is a research scientist and project leader at the U.S. National Institute of Standards and Technology (NIST) in Gaithersburg, MD.  Dr. Marvel received the bachelor’s degree in computer science from Boston University, Boston, MA, the master’s degree in computer science from Brandeis University, Waltham, MA, and the Ph.D. degree in computer engineering from Case Western Reserve University, Cleveland, OH.  Prior to NIST, Dr. Marvel was a research scientist at the Institute for Research in Engineering and Applied Physics at the University of Maryland, College Park, MD.  He joined the Intelligent Systems Division at NIST in 2012.  His research interests include intelligent and adaptive solutions for robot applications, with particular attention paid to human-robot and robot-robot collaborations, multirobot coordination, industrial robot safety, machine learning, perception, and automated parameter optimization.  Dr. Marvel currently leads a team of scientists and engineers in metrology efforts at NIST toward collaborative robot performance, and developing tools to enable small and medium-sized enterprises to effectively deploy robot solutions.