Lockheed Martin Robotics Seminar: Jeremy Marvel, "Future of Collaborative Robotics in Manufacturing"
Friday, May 15, 2015
2121 JM Patterson
301 405 5205
Working Well With Others: The Future of Collaborative Robotics in Manufacturing
Jeremy A. Marvel
U.S. Department of Commerce
National Institute of Standards and Technology
Manufacturing is a critical part of a nation’s fiscal stability and prosperity. Developing and advancing the manufacturing infrastructure is key for economic and employment security, and robotics are slated to play a central role in this growth. However, as they are currently defined, industrial robotic systems are dangerous, expensive, and difficult to integrate into existing manufacturing processes. To answer this, a new generation of industrial robots specifically designed to be safe and easy to use is already appearing on the marketplace. Though still somewhat limited, these new technologies are the vanguard of the next phase of the ever-evolving manufacturing environment. This talk will present the current trends in collaborative robots as they are being introduced to the workforce, and will discuss the future capabilities—and the key performance indicators—that will ultimately define robotic systems in years to come.
Jeremy Marvel has been engaged in the field of adaptive and intelligent robotics for over 10 years. He received his Ph.D. from Case Western Reserve University in 2010. Jeremy is currently a project leader and research scientist in the Intelligent Systems Division of the National Institute of Standards and Technology (NIST) in Gaithersburg, MD. Since joining the research staff at NIST, Jeremy has established the Collaborative Robotics Laboratory, which is engaged in research dedicated to developing test methods and metrics for the performance and safety assessments of collaborative robotic technologies. Prior to joining NIST, Jeremy was an adjunct professor at Akron University, and a research associate in the Institute for Research in Engineering and Applied Physics at the University of Maryland, College Park. His research focuses on intelligent and adaptive solutions for robot applications, with particular attention paid to human-robot collaborations, multi-robot coordination, safety, perception, and self-guided learning, and automated parameter optimization. Jeremy is currently engaged in developing measurement science techniques and artifacts for the integration and application of robots in collaborative assembly tasks for manufacturing.