Social or humanoid robots do hardly show up in "the wild," aiming at pervasive and enduring human benefits such as child health. This paper presents a socio-cognitive engineering (SCE) methodology that guides the ongoing research & development for an evolving, longer-lasting human-robot partnership in practice. The SCE methodology has been applied in a large European project to develop a robotic partner that supports the daily diabetes management processes of children, aged between 7 and 14 years (i.e., Personal Assistant for a healthy Lifestyle, PAL). Four partnership functions were identified and worked out (joint objectives, agreements, experience sharing, and feedback & explanation) together with a common knowledge-base and interaction design for child's prolonged disease self-management. In an iterative refinement process of three cycles, these functions, knowledge base and interactions were built, integrated, tested, refined, and extended so that the PAL robot could more and more act as an effective partner for diabetes management. The SCE methodology helped to integrate into the human-agent/robot system: (a) theories, models, and methods from different scientific disciplines, (b) technologies from different fields, (c) varying diabetes management practices, and (d) last but not least, the diverse individual and context-dependent needs of the patients and caregivers. The resulting robotic partner proved to support the children on the three basic needs of the Self-Determination Theory: autonomy, competence, and relatedness. This paper presents the R&D methodology and the human-robot partnership framework for prolonged "blended" care of children with a chronic disease (children could use it up to 6 months; the robot in the hospitals and diabetes camps, and its avatar at home). It represents a new type of human-agent/robot systems with an evolving collective intelligence. The underlying ontology and design rationale can be used as foundation for further developments of long-duration human-robot partnerships "in the wild."
In this paper, the design of an aperture-coupled microstrip antenna to be installed onto a nano-satellite is described. The proposed antenna has been optimized to operate at 2.26 GHz (S-Band), which is the operating frequency of the downlink channel of the Brazilian System for Meteorological Data Acquisition. The electromagnetic analysis is done by using HFSS software. For the design validation, prototypes were manufactured and the comparison between simulations and measurements indicates good performance of the proposed antenna.
Resumo-Este artigo apresenta o desenvolvimento e validação experimental de uma topologia de transceptor para integração em nanossatélites com dois canais de comunicação: enlace de subida em 401 MHz e enlace de descida em 2,26 GHz. Analisase, inicialmente, o cenário no qual o sistema completo (nanossátelite com transceptor embarcado) deverá operar. Na sequência, analisam-se os componentes (amplificadores, filtros e mixer) a serem empregados no projeto. Por fim, o protótipo construído e caracterizado experimentalmente é apresentado e discutido.
This paper presents the design and characterization of an aperture-coupled microstrip antenna array to be installed onto a nanosatellite. The proposed antenna array has been optimized to operate at 2.26 GHz (S-Band), which is the operating frequency of the downlink channel of the Brazilian System for Meteorological Data Acquisition. The electromagnetic analyses are done by using the HFSS electromagnetic simulator. For the design validation, prototypes of single elements and antenna array were manufactured. The comparison between simulations and measurements indicates good performance of the designed antennas.
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