Recursive Spoken Instruction-Based One-Shot Object and Action Learning

Matthias Scheutz and Evan Krause and Bradley Oosterveld and Tyler Frasca and Robert Platt

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.

@inproceedings{scheutzetal18ijcai,
  title={Recursive Spoken Instruction-Based One-Shot Object and Action Learning},
  author={Matthias Scheutz and Evan Krause and Bradley Oosterveld and
Tyler Frasca and Robert Platt},
  year={2018},
  booktitle={Proceedings of the Twenty-Seventh International Joint
Conference on Artificial Intelligence},
  pages={5354--5358}
  url={https://hrilab.tufts.edu/publications/scheutzetal18ijcai.pdf}
  doi={10.24963/ijcai.2018/752}
}