Publicaciones

Artículos académicos

En orden cronológico inverso.
  1. Yuichi Kobayashi, Takeshi Sugimoto, Kazuhito Tanaka, Yuki Shimomura, Francisco J. Arjonilla Garcia , Chyon Hae Kim, Hidenori Yabushita y Takahiro Toda (2021) Robot navigation based on predicting of human interaction and its reproducible evaluation in a densely crowded environment. International Journal of Social Robotics, Vol. 14, pp. 373-387. DOI PDF
  2. Francisco Jesús Arjonilla García y Yuichi Kobayashi (2021) Supervised learning of mapping from sensor space to chained form for unknown non-holonomic driftless systems. Industrial Robot, Vol. 48, 5 pp. 710-719. DOI PDF
  3. Francisco J. Arjonilla y Tetsuya Ogata (2017) General problem solving with category theory. DOI PDF

Conferencias internacionales y domésticas, talleres y seminarios

  1. Tenyu Sakakibara, Yuichi Kobayashi, Francisco Arjonilla (2022) Path generator of manipulator based on contact information and automatic tuning of meta-parameter of path generation. En SICE-IS The 49th SICE Intelligent Systems Symposium, C3-3. Título original: マニピュレータへの動作教示時間短縮のための経路最適化とメタパラメータ自動調整 ENLACE PDF
  2. Anupam Choudhary, Yuichi Kobayashi, Francisco J. Arjonilla, Satoshi Nagasaka y Megumi Koike (2021) Evaluation of mapping and path planning for non-holonomic mobile robot navigation in narrow pathway for agricultural application. En IEEE/SICE International Symposium on System Integration (SII), TuC1.4. Iwaki, Fukushima, Japan, pp. 17-22. DOI PDF
  3. Francisco J. Arjonilla Garcia y Yuichi Kobayashi (2020) Acquisition of observer mapping in driftless, non-holonomic system. En JSME annual Conference on Robotics and Mechatronics (Robomech), 2P2-I09, Kanazawa. DOI PDF POSTER
  4. Francisco J. Arjonilla, Yuichi Kobayashi (2019) K-th order intelligences: learning to learn to do. En Annual Conference of the Japanese Society of Artificial Intelligence (JSAI), 2K3-E-1-04, Niigata. DOI PDF DIAP
  5. Francisco Arjonilla, Yuichi Kobayashi (2019) The anthropocentrism of intelligence: Rooted assumptions that hinder the study of general intelligence. En JSAI Technical Report, SIG-AGI-011-07. Tokio. DOI PDF DIAP
  6. Francisco J. Arjonilla y Yuichi Kobayashi (2019) The limits of meta-learning in artificial intelligence. En International Conference on Humans and Computers (HC 2018). Hamamatsu. DIAP Programa
  7. Francisco J. Arjonilla y Yuichi Kobayashi (2019) Classification of intelligence by meta-models. En Conference on Future of Advanced Researches. Shizuoka. PDF POSTER
  8. Francisco J. Arjonilla, Yuichi Kobayashi (2018) Definition of intelligence with linear orders for ontologies. En IROS – WOSRA. Madrid. PDF DIAP
  9. Francisco J. Arjonilla Garcia y Yuichi Kobayashi (2018) Trial and error-based necessary conditions for general intelligence. En Emergent Systems Symposium. Nagano. PDF POSTER
  10. Francisco J. Arjonilla (2015) A three-component cognitive theory: a theory about universal cognition. En Benelux Conference on Artificial Intelligence (BNAIC). Hasselt. POSTER

Tesis

  1. Francisco Jesús Arjonilla García (2021) Control of non-holonomic driftless system with unknown sensorimotor model by Jacobian estimation. Tesis de doctorado. Universidad de Shizuoka. [Enlace] PDF DIAP
  2. Francisco J. Arjonilla (2015) A three-component cognitive theory. Tesis de máster en inteligencia artificial, rama cognitiva. Universidad de Utrecht. ENLACE PDF DIAP
  3. Francisco J. Arjonilla García (2011) Desarrollo e implantación de plataforma robótica móvil en entorno distribuido. Tesis de Ingeniería Industrial. Universidad Politécnica de Madrid. PDF DIAP