Title: Dynamics, Controls, and Robotics Programs at NSF: a Biased Perspective
Abstract This talk will present several programs in the area of dynamics, control, and robotics at NSF. Dr. Berg is a Program Officer in the Division of Civil, Mechanical, and Manufacturing Innovation in the NSF Engineering Directorate, where he co-directs the Dynamics, Control, and System Diagnostics program. He was the original director of the CMMI Mind, Machine, and Motor Nexus (M3X) program, and he is a Program Director for the National Robotics Initiative (NRI-2.0). Dr. Berg will discuss funding opportunities in these programs, as well as in the new CMMI LEAP-HI program. The talk will provide some general guidelines for choosing between NSF programs in the dynamics, controls, and robotics areas, and will include ample time for Q&A.
Jordan M. Berg received the BSE and MSE in Mechanical and Aerospace Engineering from Princeton University in 1981 and 1984. He worked in the Attitude Control Analysis group at RCA Astro-Electronics in East Windsor, NJ, from 1983 to 1986. He received the PhD in Mechanical Engineering and Mechanics, and the MS in Mathematics and Computer Science from Drexel University in 1992. He has held postdoctoral appointments at the USAF Wright Laboratory in Dayton, OH, and the Institute for Mathematics and Its Applications in Minneapolis, MN. Since 1996 he has been at Texas Tech University, where he is currently Professor of Mechanical Engineering and Co-Director of the Nano Tech Center. As a Fulbright Scholar in 2008 he held visiting faculty appointments at the University of Ruhuna and University of Peradeniya in Sri Lanka. He is a Professional Engineer in the State of Texas and a Fellow of the ASME. In 2014 he was appointed a Program Director for the Sensors, Dynamics, and Controls (SDC) program in the Civil, Mechanical, and Manufacturing Innovation (CMMI) Division of the Engineering (ENG) Directorate at the National Science Foundation, where he is currently serving as an IPA rotator. His current research interests include nonlinear and geometric control, soft robotics, human-machine systems, and the modeling, simulation, design, and control of nano- and micro-systems.