• Behavior-based Formation Control for Multi-robot Teams 

      Arkin, Ronald C.; Balch, Tucker (Georgia Institute of Technology, 1999)
      New reactive behaviors that implement formations in multi-robot teams are presented and evaluated. The formation behaviors are integrated with other navigational behaviors to enable a robotic team to reach navigational ...
    • From Deliberative to Routine Behaviors: a Cognitively-Inspired Action Selection Mechanism for Routine Behavior Capture 

      Chernova, Sonia; Arkin, Ronald C. (Georgia Institute of Technology, 2006-11-06)
      Long-term human-robot interaction, especially in the case of humanoid robots, requires an adaptable and varied behavior base. In this work we present a method for capturing, or learning, sequential tasks by transferring ...
    • Monte Carlo Localization for Mobile Robots 

      Burgard, Wolfram; Dellaert, Frank; Fox, Dieter; Thrun, Sebastian (Georgia Institute of Technology, 1999)
      To navigate reliably in indoor environments, a mobile robot must know where it is. Thus, reliable position estimation is a key problem in mobile robotics. We believe that probabilistic approaches are among the most ...
    • Reward and Diversity in Multirobot Foraging 

      Balch, Tucker (Georgia Institute of Technology, 1999)
      This research seeks to quantify the impact of the choice of reward function on behavioral diversity in learning robot teams. The methodology developed for this work has been applied to multirobot foraging, soccer and ...
    • Using the CONDENSATION Algorithm for Robust, Vision-Based Mobile Robot Localization 

      Burgard, Wolfram; Dellaert, Frank; Fox, Dieter; Thrun, Sebastian (Georgia Institute of Technology, 1999)
      To navigate reliably in indoor environments, a mobile robot must know where it is. This includes both the ability of globally localizing the robot from scratch, as well as tracking the robot’s position once its location ...