3 accepted papers
Continual adaptation is essential for general autonomous agents. For example, a household robot pretrained with a repertoire of skills must still learn and adapt to unseen tasks specific to each household. However, prior works mainly emphasize either effective pretraining of models for decision-maki
Recent evidence has shown that, contrary to expectations, it is difficult for novices to teach robots tasks through learning from demonstration (LfD). Novices often struggle with understanding the relationship between robot states and actions, leading to suboptimal demonstrations. This paper introdu…
Learning from demonstration (LfD) is a technique that allows expert teachers to teach task-oriented skills to robotic systems. However, the most effective way of guiding novice teachers to approach expert-level demonstrations quantitatively for specific teaching tasks remains an open question. To th