The ability to quickly adapt to new environments and incorporate new knowledge is of great importance for robots operating in unstructured environments and interacting with non-expert users. This paper reports on our current progress in tackling this problem. We propose the development of a framework for teaching robots to perform tasks using natural language instructions, visual demonstrations and interactive dialogue. Moreover, we present a module for learning objects incrementally and on-the-fly that would enable robots to ground referents in the natural language instructions and reason about the state of the world.
CITATION STYLE
Part, J. L., & Lemon, O. (2017). Teaching robots through situated interactive dialogue and visual demonstrations. In IJCAI International Joint Conference on Artificial Intelligence (Vol. 0, pp. 5201–5202). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2017/760
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