• Learning from Examples in Unstructured, Outdoor Environments 

      Sun, J.; Mehta, Tejas R.; Wooden, David; Powers, Matthew; Rehg, J.; Balch, Tucker; Egerstedt, Magnus B. (Georgia Institute of TechnologyWiley Periodicals, Inc., 2006)
      In this paper, we present a multi-pronged approach to the "Learning from Example" problem. In particular, we present a framework for integrating learning into a standard, hybrid navigation strategy, composed of both ...
    • Obstacle Avoidance for Mobile Robots Using Switching Surface Optimization 

      Boccadoro, Mauro; Egerstedt, Magnus B.; Wardi, Yorai (Georgia Institute of TechnologyInternational Federation of Automatic Control, 2005-07)
      This paper studies the problem of letting an autonomous mobile robot negotiate obstacles in an optimal manner. In particular, a multi-modal control problem is addressed, where different modes of operation control the ...
    • A Variational Approach to Constructivist Learning for Mobile Robot Navigation 

      Mehta, Tejas R.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-12)
      In this paper, we present a constructivist approach for the Learning by Example problem, where control laws (or behaviors) are learned in order to approximate a training trajectory. The new behaviors are learned by ...