Tracing the evolution of service robotics : Insights from a topic modeling approach
Savin, Ivan (Universitat Autònoma de Barcelona. Institut de Ciència i Tecnologia Ambientals)
Ott, Ingrid (Kiel Institute for the World Economy)
Konop, Chris (Chair for Economic Policy. Karlsruhe Institute of Technology)

Data:	2022
Resum:	Taking robotic patents between 1977 and 2017 and building upon the topic modeling technique, we extract their latent topics, analyze how important these topics are over time, and how they are related to each other looking at how often they are recombined in the same patents. This allows us to differentiate between more and less important technological trends in robotics based on their stage of diffusion and position in the space of knowledge represented by a topic graph, where some topics appear isolated while others are highly interconnected. Furthermore, utilizing external reference texts that characterize service robots from a technical perspective, we propose and apply a novel approach to match the constructed topics to service robotics. The matching procedure is based on frequency and exclusivity of words overlapping between the patents and the reference texts. We identify around 20 topics belonging to service robotics. Our results corroborate earlier findings, but also provide novel insights on the content and stage of development of application areas in service robotics. With this study we contribute to a better understanding of the highly dynamic field of robotics as well as to new practices of utilizing the topic modeling approach, matching the resulting topics to external classifications and applying to them metrics from graph theory.
Nota:	Unidad de excelencia María de Maeztu CEX2019-000940-M
Nota:	Altres ajuts: acords transformatius de la UAB
Nota:	Altres ajuts: Helmholtz Association (HIRG-0069)
Nota:	Altres ajuts: Russian Science Foundation (RSF grant number 19-18-00262)
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Publicat a:	Technological forecasting and social change, Vol. 174 (january 2022) , p. 121280, ISSN 1873-5509

DOI: 10.1016/j.techfore.2021.121280

31 p, 24.3 MB

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