Collaborative Development Within a Social Robotic, Multi-Disciplinary Effort: the CARESSES Case Study Show others and affiliations
2018 (English) In: 2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), IEEE, 2018, p. 117-124Conference paper, Published paper (Refereed)
Abstract [en]
In many cases, complex multidisciplinary research projects may show a lack of coordinated development and integration, and a big effort is often required in the final phase of the projects in order to merge software developed by heterogeneous research groups. This is particularly true in advanced robotic projects: the objective here is to deliver a system that integrates all the hardware and software components, is capable of autonomous behaviour, and needs to be deployed in real-world scenarios toward providing an impact on future research and, ultimately, on society. On the other hand, in recent years there has been a growing interest for techniques related to software integration, but these have been mostly applied to the IT commercial domain.
This paper presents the work performed in the context of the project CARESSES, a multidisciplinary research project focusing on socially assistive robotics that involves 9 partners from the EU and Japan. Given the complexity of the project, a huge importance has been placed on software integration, task planning and architecture definition since the first stages of the work: to this aim, some of the practices commonly used in the commercial domain for software integration, such as merging software from the early stage, have been applied. As a case study, the document describes the steps which have been followed in the first year of the project discussing strengths and weaknesses of this approach.
Place, publisher, year, edition, pages IEEE, 2018. p. 117-124
Series
IEEE Workshop on Advanced Robotics and its Social Impacts, ISSN 2162-7568
Keywords [en]
Robot sensing systems, Cultural differences, Robot kinematics, Computer architecture, Middleware
National Category
Computer Sciences Computer graphics and computer vision
Research subject Computer Science
Identifiers URN: urn:nbn:se:oru:diva-71984 DOI: 10.1109/ARSO.2018.8625740 ISI: 000458688000025 ISBN: 978-1-5386-8037-7 (print) OAI: oai:DiVA.org:oru-71984 DiVA, id: diva2:1284223
Conference 2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO), Genova, Italy, 27-29 September, 2018
Projects CARESSES
Funder EU, Horizon 2020, 737858
Note Funding Agencies:
Ministry of Internal Affairs and Communication of Japan
2019-01-312019-01-312025-03-31 Bibliographically approved