RT Book, Section
T1 The industrial robot evolution in the world. A first dendrogram for a cluster analysis
A1 López Sánchez, José Ignacio
A1 Arroyo Barriguete, Jose Luis
A1 Morales Contreras, Manuel Francisco
A2 Pons, José Luis
AB 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.
PB Springer
SN 9783030240738
SN 9783030240745
SN 2195-3562
SN 2195-3570
YR 2019
FD 2019-07-30
LK https://hdl.handle.net/20.500.14352/113017
UL https://hdl.handle.net/20.500.14352/113017
LA eng
NO 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
NO European Commission
DS Docta Complutense
RD 25 abr 2025