• Task-Aware Variations in Robot Motion 

      Gielniak, Michael J.; Liu, C. Karen; Thomaz, Andrea L. (Georgia Institute of TechnologyInstitute of Electrical & Electronics Engineers, 2011-05)
      Social robots can benefit from motion variance because non-repetitive gestures will be more natural and intuitive for human partners. We introduce a new approach for synthesizing variance, both with and without constraints, ...
    • Towards Grounding Concepts for Transfer in Goal Learning from Demonstration 

      Chao, Crystal; Cakmak, Maya; Thomaz, Andrea L. (Georgia Institute of TechnologyInstitute of Electrical & Electronics Engineers, 2011-08)
      We aim to build robots that frame the task learning problem as goal inference so that they are natural to teach and meet people's expectations for a learning partner. The focus of this work is the scenario of a social robot ...
    • Transparent Active Learning for Robots 

      Chao, Crystal; Cakmak, Maya; Thomaz, Andrea L. (Georgia Institute of TechnologyInstitute of Electrical & Electronics Engineers, 2010)
      This research aims to enable robots to learn from human teachers. Motivated by human social learning, we believe that a transparent learning process can help guide the human teacher to provide the most informative ...