Proceedings

• Seth McCammon and Geoff Hollinger, "Planning Non-Entangling Paths for Tethered Underwater Robots Using Simulated Annealing".
  
• Minwoo Lee and Charles Anderson, "Robust Reinforcement Learning with Relevance Vector Machines".
  
• Yan Yan, Qianli Ma, and Gregory Chirikjian, "Path Planning Based on Closed-Form Characterization of Collision-Free Configuration-Spaces for Ellipsoidal Bodies, Obstacles, and Environments".
  
• Kris Hauser, "Learning the Problem-Optimum Map: Analysis and Application to Global Optimization in Robotics"(best paper award).
  
• Vishnu Desaraju and Nathan Michael, "Experience-driven Predictive Control".
  
• Diane Uwacu, Chinwe Ekenna, Shawna Thomas and Nancy Amato, "The Impact of Approximate Methods on Local Learning in Motion Planning".