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Scaling robot demand through doing robotics in public

Cuevas-Garcia, C; O'Donovan, C; Pepponi, F; (2020) Scaling robot demand through doing robotics in public. Presented at: EASST 4S Prague 2020, Prague, Czech Republic. Green open access

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Abstract

Scalability has been a key driver in research funding initiatives in the field of robotics. A widely spread assumption in this field suggests that for robotics to thrive it must create and keep adapting to an ever growing market. Attempts to create this market can be noted in the diversification of areas of application for complex robot technologies, for example industrial robots, healthcare, home-care and elderly care robots, delivery robots, emergency and rescue robots, inspection and maintenance robots, and so on. The better fit between these robots and grand societal challenges such as aging, food security or sustainability, the better. Yet, in almost no such situation can we see state of the art robots implemented in practice. In this presentation we examine strategies through which different actors in the field of robotics intend to scale-up the research, development and implementation of robots in the areas of infrastructure inspection and maintenance, and healthcare. In this paper we do not start with an assumption of what is or isn’t an effective strategy to scale-up robots’ use, but examine the practices and discursive arrangements through which this scalability is expected to happen. We draw on interviews and on observations of conferences, workshops and final evaluations of European Commission funded projects.

Type: Conference item (Presentation)
Title: Scaling robot demand through doing robotics in public
Event: EASST 4S Prague 2020
Location: Prague, Czech Republic
Dates: 18 - 22 August 2020
Open access status: An open access version is available from UCL Discovery
Publisher version: https://convention2.allacademic.com/one/ssss/ssss2...
Language: English
Keywords: innovation policy, robotics, co-creation, social care, robot competitions, science and technology studies
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Science and Technology Studies
URI: https://discovery.ucl.ac.uk/id/eprint/10108237
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