2026-06-28T20:24:55Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/1130172026-03-09T09:33:58Zcom_20.500.14352_14col_20.500.14352_15

The industrial robot evolution in the world. A first dendrogram for a cluster analysis López Sánchez, José Ignacio Arroyo Barriguete, Jose Luis Morales Contreras, Manuel Francisco Pons, José Luis Adoption of high tech robot systems help economies and companies to be more competitive. We have analyzed the evolution of 71 countries, calculating the robot density (robots for each 10,000 people of active population). We have used a clustering algorithm using the dissimilarity measure which takes into consideration both the proximity of the values and the behavior of the series (temporal correlation). Our preliminary findings show that there exist four different clusters, based on their robot densification evolution over the years. These clusters, composed of countries with a similar evolution over time, have also similar competitiveness levels. 2024-12-19T10:02:48Z 2024-12-19T10:02:48Z 2019-07-30 book part López-Sánchez, J.I., Arroyo-Barriguete, J.L., Morales-Contreras, M. (2020). The Industrial Robot Evolution in the World. A First Dendrogram for a Cluster Analysis. In: Pons, J. (eds) Inclusive Robotics for a Better Society. INBOTS 2018. Biosystems & Biorobotics, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-030-24074-5_7 9783030240738 9783030240745 2195-3562 2195-3570 10.1007/978-3-030-24074-5_7 https://hdl.handle.net/20.500.14352/113017 https://doi.org/10.1007/978-3-030-24074-5_7 https://link.springer.com/chapter/10.1007/978-3-030-24074-5_7 eng Biosystems & Biorobotics info:eu-repo/grantAgreement/EC/H2020/780073/EU/Inclusive Robotics for a better Society/INBOTs open access Springer