Interactive Task Learning for Social Robots: A Pilot Study
Alexander Tyshka,Wing-Yue Geoffrey Louie,Alexander Tyshka,Wing-Yue Geoffrey Louie
For socially assistive robots to achieve widespread adoption, the ability to learn new tasks in the wild is critical. Learning from Demonstration (LfD) approaches are a popular method for learning in the wild, but current methods require significant amounts of data and can be difficult to interpret. Interactive Task Learning (ITL) is an emerging learning paradigm that aims to teach tasks in a stru...
