Communications and Robotics Simulation in UAVs: A Case Study on Aerial Synthetic Aperture Antennas

2021 ◽  
Vol 59 (1) ◽  
pp. 22-27
Author(s):  
Miguel Calvo-Fullana ◽  
Alexander Pyattaev ◽  
Daniel Mox ◽  
Sergey Andreev ◽  
Alejandro Ribeiro
2021 ◽  
Vol 11 (5) ◽  
pp. 198
Author(s):  
Ana Francisca Monteiro ◽  
Maribel Miranda-Pinto ◽  
António José Osório

Coding is increasingly recognized as a new literacy that should be encouraged at a young age. This understanding has recontextualized computer science as a compulsory school subject and has informed several developmentally appropriate approaches to computation, including for preschool children. This study focuses on the introduction of three approaches to computation in preschool (3–6 years), specifically computational thinking, programming, and robotics, from a cross-curricular perspective. This paper presents preliminary findings from one of the case studies currently being developed as part of project KML II—Laboratory of Technologies and Learning of Programming and Robotics for Preschool and Elementary School. The purpose of the KML II project is to characterize how approaches to computation can be integrated into preschool and elementary education, across different knowledge domains. The conclusions point to “expression and communication” as an initial framework for computational approaches in preschool, but also to multidisciplinary and more creative methodological activities that offer greater scope for the development of digital and computational competences, as well as for personal and social development.


2021 ◽  
Vol 11 (2) ◽  
pp. 64
Author(s):  
Christian García-Carrillo ◽  
Ileana María Greca ◽  
María Fernández-Hawrylak

An analysis is presented in this study that provides insight into a practical training process and its impact on teachers and their viewpoints toward the integrated STEM approach used in that training process, together with educational coding and robotics, over the first years of compulsory primary education, where STEM implementations are relatively new. A case study was developed by two teachers following the practical training course, including pre- and post-interviews and nonparticipative observation of their classroom practices during the teacher-training sessions. The results revealed the positive perspectives that the teachers held toward the STEM-integrated approach and educational coding and robotics, despite the difficulties that arose in classroom practice. It was concluded that the STEM approach and its methods were beneficial both to pupils and to teachers alike for improving the teaching–learning process.


2021 ◽  
Author(s):  
SANGHAMITRA CHOUDHURY ◽  
Shailendra Kumar

<p>The relationship between women, technology manifestation, and likely prospects in the developing world is discussed in this manuscript. Using India as a case study, the paper goes on to discuss how ontology and epistemology views utilised in AI (Artificial Intelligence) and robotics will affect women's prospects in developing countries. Women in developing countries, notably in South Asia, are perceived as doing domestic work and are underrepresented in high-level professions. They are disproportionately underemployed and face prejudice in the workplace. The purpose of this study is to determine if the introduction of AI would exacerbate the already precarious situation of women in the developing world or if it would serve as a liberating force. While studies on the impact of AI on women have been undertaken in developed countries, there has been less research in developing countries. This manuscript attempts to fill that need.</p>


Author(s):  
Mark Neal ◽  
Jon Timmis

The field of biologically inspired computing has generated many novel, interesting and useful computational systems. None of these systems alone is capable of approaching the level of behaviour for which the artificial intelligence and robotics communities strive. We suggest that it is now time to move on to integrating a number of these approaches in a biologically justifiable way. To this end we present a conceptual framework that integrates artificial neural networks, artificial immune systems and a novel artificial endocrine system. The natural counterparts of these three components are usually assumed to be the principal actors in maintaining homeostasis within biological systems. This chapter proposes a system that promises to capitalise on the self-organising properties of these artificial systems to yield artificially homeostatic systems. The components develop in a common environment and interact in ways that draw heavily on their biological counterparts for inspiration. A case study is presented, in which aspects of the nervous and endocrine systems are exploited to create a simple robot controller. Mechanisms for the moderation of system growth using an artificial immune system are also presented.


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