• Anticipation in Robot Motion 

      Gielniak, Michael J.; Thomaz, Andrea L. (Georgia Institute of TechnologyInstitute of Electrical & Electronics Engineers, 2011)
      Robots that display anticipatory motion provide their human partners with greater time to respond in interactive tasks because human partners are aware of robot intent earlier. We create anticipatory motion autonomously ...
    • Automatic Task Decomposition and State Abstraction from Demonstration 

      Cobo, Luis C.; Isbell, Charles L., Jr.; Thomaz, Andrea L. (Georgia Institute of TechnologyInternational Foundation for Autonomous Agents and Multiagent Systems, 2012-06)
      Both Learning from Demonstration (LfD) and Reinforcement Learning (RL) are popular approaches for building decision-making agents. LfD applies supervised learning to a set of human demonstrations to infer and imitate the ...
    • Enhancing Interaction Through Exaggerated Motion Synthesis 

      Gielniak, Michael J.; Thomaz, Andrea L. (Georgia Institute of Technology, 2012-03)
      Other than eye gaze and referential gestures (e.g. pointing), the relationship between robot motion and observer attention is not well understood. We explore this relationship to achieve social goals, such as influencing ...
    • Human-like Action Segmentation for Option Learning 

      Shim, Jaeeun; Thomaz, Andrea L. (Georgia Institute of TechnologyInstitute of Electrical & Electronics Engineers, 2011)
      Robots learning interactively with a human partner has several open questions, one of which is increasing the efficiency of learning. One approach to this problem in the Reinforcement Learning domain is to use options, ...
    • Secondary Action in Robot Motion 

      Gielniak, Michael J.; Liu, C. Karen; Thomaz, Andrea L. (Georgia Institute of TechnologyInstitute of Electrical & Electronics Engineers, 2010)
      Secondary action, a concept borrowed from character animation, improves the animation realism by augmenting natural, passive motion to primary action. We use dynamic simulation to induce three techniques of secondary motion ...
    • Stylized Motion Generalization Through Adaptation of Velocity Profiles 

      Gielniak, Michael J.; Liu, C. Karen; Thomaz, Andrea L. (Georgia Institute of TechnologyInstitute of Electrical & Electronics Engineers, 2010)
      Stylized motion is prevalent in the field of Human-Robot Interaction (HRI). Robot designers typically hand craft or work with professional animators to design behaviors for a robot that will be communicative or life-like ...
    • 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, ...