Paco Arjonilla

Paco Arjonilla's (Dr. Eng.) personal website


En orden cronológico inverso.

Artículos académicos con revisión por pares

  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

Otros artículos académicos

  1. Francisco J. Arjonilla y Tetsuya Ogata (2017) General problem solving with category theory. DOI PDF

Conferencias internacionales y domésticas

  1. Francisco Jesús Arjonilla García, Yuichi Kobayashi (2023) The POS library: a highly customisable coordinate system library for C++. En RSJ Conference of the Robotics Society of Japan, 1J4-05. Sendai. PDF DIAP
  2. Francisco Jesús Arjonilla García, Yuichi Kobayashi (2023) Generation of Door Opening Motionin a Simulated Mobile Manipulator by Bayesian Optimization. En The Robotics and Mechatronics Conference 2023 in Nagoya, 2A2-E12. Título original: ベイズ最適化を用いた移動マニピュレータによるドア開け動作の生成 PDF DIAP
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. Francisco J. Arjonilla y Yuichi Kobayashi (2019) Classification of intelligence by meta-models. En Conference on Future of Advanced Researches. Shizuoka. PDF POSTER
  10. Francisco J. Arjonilla, Yuichi Kobayashi (2018) Definition of intelligence with linear orders for ontologies. En IROS – WOSRA. Madrid. PDF DIAP
  11. Francisco J. Arjonilla Garcia y Yuichi Kobayashi (2018) Trial and error-based necessary conditions for general intelligence. En Emergent Systems Symposium. Nagano. PDF POSTER
  12. Francisco J. Arjonilla (2015) A three-component cognitive theory: a theory about universal cognition. En Benelux Conference on Artificial Intelligence (BNAIC). Hasselt. POSTER


  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