Now showing items 1-3 of 3
Task-Aware Variations in Robot Motion
(Georgia Institute of Technology, 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
(Georgia Institute of Technology, 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
(Georgia Institute of Technology, 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 ...