Recursive Spoken Instruction-Based One-Shot Object and Action Learning
Abstract
Learning new knowledge from single instructions and being able to apply it immediately is highly desirable for artificial agents. We provide the first demonstration of spoken instruction-based one-shot object and action learning in a cognitive robotic architecture and briefly discuss the architectural modifications required to enable such fast learning, demonstrating the new capabilities on a fully autonomous robot.
Cite
Text
Scheutz et al. "Recursive Spoken Instruction-Based One-Shot Object and Action Learning." International Joint Conference on Artificial Intelligence, 2018. doi:10.24963/IJCAI.2018/752Markdown
[Scheutz et al. "Recursive Spoken Instruction-Based One-Shot Object and Action Learning." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/scheutz2018ijcai-recursive/) doi:10.24963/IJCAI.2018/752BibTeX
@inproceedings{scheutz2018ijcai-recursive,
title = {{Recursive Spoken Instruction-Based One-Shot Object and Action Learning}},
author = {Scheutz, Matthias and Krause, Evan A. and Oosterveld, Bradley and Frasca, Tyler M. and Jr., Robert Platt},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2018},
pages = {5354-5358},
doi = {10.24963/IJCAI.2018/752},
url = {https://mlanthology.org/ijcai/2018/scheutz2018ijcai-recursive/}
}