Half-day workshop, June 18th 2016 - in conjunction with RSS 2016, University of Michigan.

  • 13:50 Welcome

  • 14:00-14:50 Invited talk, "A Cognitive Architecture Approach to Robot Planning and Learning"
  • John E. Laird
    University of Michigan

  • 14:50-15:10 "Planning Non-Entangling Paths for Tethered Underwater Robots Using Simulated Annealing"
  • Seth McCammon and Geoff Hollinger
    Oregon State University
  • 15:10-15:30 "Robust Reinforcement Learning with Relevance Vector Machines"
  • Minwoo Lee and Charles Anderson
    Colorado State University

  • 15:30-16:00 Coffee break

  • 16:00-16:20 "Path Planning Based on Closed-Form Characterization of Collision-Free Configuration-Spaces for Ellipsoidal Bodies, Obstacles, and Environments"
  • Yan Yan1, Qianli Ma2, and Gregory Chirikjian2
    1Amazon and 2Johns Hopkins University
  • 16:20-16:40 "Learning the Problem-Optimum Map: Analysis and Application to Global Optimization in Robotics"
  • Kris Hauser
    Duke University
  • 16:40-17:00 "Experience-driven Predictive Control"
  • Vishnu Desaraju and Nathan Michael
    Carnegie Mellon University
  • 17:00-17:20 "The Impact of Approximate Methods on Local Learning in Motion Planning"
  • Diane Uwacu, Chinwe Ekenna, Shawna Thomas and Nancy Amato
    Texas A&M University

  • 17:20-17:30 Honors ceremony
  • 17:30 Workshop adjourns