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Moniz, AB.  2010.  Anthropocentric-based robotic and autonomous systems: assessment for new organisational options, 5-6 Nov. 2009. Conference "Autonomous systems: inter-relations of technical and societal issues". , Monte de Caparica: IET Abstract

Research activities at European level on the concept of new working environments offers considerable attention to the challenges of the increased competencies of people working together with automated technologies. Since the decade of 1980 the development of approaches for the humanization of work organization, and for the development of participative organizational options induced to new proposals related to the development of complex and integrated automated systems. From such parallel conceptual development emerged the concept of “anthropocentric robotic systems” and quickly it covered also other fields of automation. More recently, the debate also covers issues related to working perception of people dealing with autonomous systems (e.g. Autonomous robotics) in tasks related to production planning, to programming and to process control. In fact, today one can understand the wider use of the anthropocentrism concept of production architectures, when understanding the new quality of these systems. In this chapter the author analyses the evolution of these issues related to governance of ICT applied to manufacturing and industrial services in research programmes strengthening very much the ‘classical’ concept of anthropocentric-based systems. It is emerging a new value of the intuitive capacities and human knowledge in the optimization and flexibilization of the manufacturing processes. While this would be a pre-condition to understand the human-robot communication needs, there is also a need to take into consideration the qualitative variables in the definition and design of robotic systems, jobs and production systems.

Moniz, AB.  2007.  The collaborative work concept and the information systems support: perspectives for and from manufacturing industry. Technikfolgenabschätzung – Theorie und Praxis. 16(2):49-57. AbstractWebsite

Most of the discussion and controversy on organisation of work concepts has been referenced to the manufacturing industry along the 20th century: it started with the concept of “scientific management” from Taylor, and continued with the new ideas on the importance of human factors as Mayo pointed out in the 1930s. Immediately after the 2nd World War Friedmann studied the human problems related to new manufacturing technologies and automation. And the late 1950 and 1960s were decades of strong debate on the socio-technics with the research at Tavistock Institute of London and the emergence of national programmes on new forms of work organisation. At the end of the last century the concept of collaborative work was developed together with the definition(s) of information systems and organisational design. However, the interest came from other production activities, like the services. This article analyses the approaches developed on these debates on the collaborative work and information system and its application to the manufacturing industry.

Moniz, AB.  2009.  Synthesis about a collaborative project on “Technology Assessment of Autonomous Systems”. Enterprise and Work Innovation Studies. 5:83-91. AbstractWebsite

The project started in 2009 with the support of DAAD in Germany and CRUP in Portugal under the “Collaborative German-Portuguese University Actions” programme. One central goal is the further development of a theory of technology assessment applied to robotics and autonomous systems in general that reflects in its methodology the changing conditions of knowledge production in modern societies and the emergence of new robotic technologies and of associated disruptive changes. Relevant topics here are handling broadened future horizons and new clusters of science and technology (medicine, engineering, interfaces, industrial automation, micro-devices, security and safety), as well as new governance structures in policy decision making concerning research and development (R&D).