NSF-Sponsored Workshop:

Robot Planning in the Real World: Research Challenges and Opportunities

Workshop Participants

  • Ron Alterovitz, University of North Carolina at Chapel Hill
  • Nancy Amato, Texas A&M University
  • Ronald Arkin, Georgia Institute of Technology
  • Jennifer Barry, Rethink Robotics
  • Michael Beetz, Universität Bremen, Germany
  • Kostas Bekris, Rutgers University
  • Ronald Boenau, U.S. Department of Transportation
  • Sachin Chitta, SRI International
  • Howie Choset, Carnegie Mellon University
  • James J. Donlon, National Science Foundation (NSF)
  • David Ferguson, Google
  • Gary Gilbert, Telemedicine and Advanced Technology Research Center (TATRC)
  • S.K. Gupta, National Science Foundation (NSF)
  • Kris Hauser, Indiana University at Bloomington
  • Joe Hays, Naval Research Laboratory (NRL)
  • Geoffrey Hollinger, Oregon State University
  • Wes Huang, iRobot
  • Purush Iyer, U.S. Army Research Office (ARO)
  • Leslie Kaelbling, Massachusetts Institute of Technology
  • Subbarao Kambhampati, Arizona State University
  • Behzad Kamgar-Parsi, Office of Naval Research (ONR)
  • Dai Hyun Kim, Office of the Assistant Secretary of Defense for Research and Engineering
  • Sven Koenig, University of Southern California
  • Hadas Kress-Gazit, Cornell University
  • Vijay Kumar, University of Pennsylvania
  • Maxim Likhachev, Carnegie Mellon University
  • Kevin Lynch, Northwestern University
  • Dinesh Manocha, University of North Carolina at Chapel Hill
  • Jeremy Marvel, National Institute of Standards and Technology (NIST)
  • Brett Piekarski, U.S. Army Research Laboratory (ARL)
  • Fred Proctor, National Institute of Standards and Technology (NIST)
  • Craig Schlenoff, National Institute of Standards and Technology (NIST)
  • Don Sofge, Naval Research Laboratory (NRL)
  • Mike Stilman, Georgia Institute of Technology
  • Manuela Veloso, Carnegie Mellon University
  • Richard Voyles, National Science Foundation (NSF)
  • Peter Wurman, Kiva Systems

NSF logo This workshop is made possible by generous support from the National Science Foundation under award #1349355. Any opinions, findings, and conclusions or recommendations expressed on this web site do not necessarily reflect the views of the National Science Foundation.