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.
|Title of host publication||Proceedings of the 26th International Joint Conference on Artificial Intelligence|
|Publisher||International Joint Conferences on Artificial Intelligence|
|Number of pages||2|
|Publication status||Published - 2017|
ASJC Scopus subject areas
- Artificial Intelligence