FALTA: Enlaces ocultos de la pagina web en git, y copia de los archivos.

Artículos académicos

  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. [DOI: 10.1007/s12369-021-00791-9]
  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: 10.1108/IR-10-2020-0221]
  3. Francisco J. Arjonilla y Tetsuya Ogata (2017) General problem solving with category theory. [ArXiv: 1709.04825]

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 System Symposium [Enlace pendiente][En japones]
  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). Iwaki. [DOI: 10.1109/IEEECONF49454.2021.9382767]
  3. Francisco J. Arjonilla Garcia y Yuichi Kobayashi (2020) Acquisition of observer mapping in driftless, non-holonomic system. En The Robotics and Mechatronics Conference (ROBOMECH). Kanazawa. [DOI: 10.1299/jsmermd.2020.2P2-I09] [Póster]
  4. Francisco J. Arjonilla, Yuichi Kobayashi (2019) k-th order intelligences: learning to learn to do. En Japanese Society of Artificial Intelligence (JSAI). Niigata. [DOI: 10.11517/pjsai.JSAI2019.0_2K3E104] [Diapositivas]
  5. Francisco Arjonilla, Yuichi Kobayashi (2019) The anthropocentrism of intelligence: rooted assumptions that hinder the study of general intelligence. En JSAI SIG-AGI 11, 7. Tokio. [DOI: 10.11517/jsaisigtwo.2019.AGI-011_07] [Diapositivas]
  6. Francisco J. Arjonilla y Yuichi Kobayashi (2019) The limits of meta-learning in artificial intelligence. En International Conference on Humans and Computers. Hamamatsu. [Enlace] [Diapositivas]
  7. Francisco J. Arjonilla y Yuichi Kobayashi (2019) Classification of intelligence by meta-models. En Future of Advanced Researches. Shizuoka. [PDF] [Póster]
  8. Francisco J. Arjonilla, Yuichi Kobayashi (2018) Definition of intelligence with linear orders for ontologies. En IROS – WOSRA. Madrid. [PDF] [Diapositivas]
  9. Francisco J. Arjonilla Garcia y Yuichi Kobayashi (2018) Trial and error-based becessary conditions for general intelligence. En Emergent Systems Symposium. Nagano. [PDF] [Póster]
  10. Francisco J. Arjonilla (2015) A three-component cognitive theory: a theory about universal cognition. En Benelux Conference on Artificial Intelligence (BNAIC). Hasselt. [Póster]

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]
  2. Francisco J. Arjonilla (2015) A three-component cognitive theory. Tesis de máster en inteligencia artificial. Universidad de Utrecht. [Enlace]
  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]