Autonomous Knowledge Representation for Efficient Skill Learning in Cognitive Robots

Alejandro Romero, Blaz Meden, Francisco Bellas, Richard J. Duro. Autonomous Knowledge Representation for Efficient Skill Learning in Cognitive Robots. In José Manuel Ferrández de Vicente, José Ramón Álvarez Sánchez, Félix de la Paz López, Hojjat Adeli, editors, Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 - June 3, 2022, Proceedings, Part II. Volume 13259 of Lecture Notes in Computer Science, pages 253-263, Springer, 2022. [doi]

@inproceedings{RomeroMBD22,
  title = {Autonomous Knowledge Representation for Efficient Skill Learning in Cognitive Robots},
  author = {Alejandro Romero and Blaz Meden and Francisco Bellas and Richard J. Duro},
  year = {2022},
  doi = {10.1007/978-3-031-06527-9_25},
  url = {https://doi.org/10.1007/978-3-031-06527-9_25},
  researchr = {https://researchr.org/publication/RomeroMBD22},
  cites = {0},
  citedby = {0},
  pages = {253-263},
  booktitle = {Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence - 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 - June 3, 2022, Proceedings, Part II},
  editor = {José Manuel Ferrández de Vicente and José Ramón Álvarez Sánchez and Félix de la Paz López and Hojjat Adeli},
  volume = {13259},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-06527-9},
}