Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS - a collection of Technical Notes Part 1

This report provides an introduction and overview of the Technical Topic Notes (TTNs) produced in the Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS (Tigars) project. These notes aim to support the development and evaluation of autonomous vehicles. Part 1 addresses: Assurance-overview and issues, Resilience and Safety Requirements, Open Systems Perspective and Formal Verification and Static Analysis of ML Systems. Part 2: Simulation and Dynamic Testing, Defence in Depth and Diversity, Security-Informed Safety Analysis, Standards and Guidelines

A Model-Driven Engineering Approach for ROS using Ontological Semantics

This paper presents a novel ontology-driven software engineering approach for the development of industrial robotics control software. It introduces the ReApp architecture that synthesizes model-driven engineering with semantic technologies to facilitate the development and reuse of ROS-based components and applications. In ReApp, we show how different ontological classification systems for hardware, software, and capabilities help developers in discovering suitable software components for their tasks and in applying them correctly. The proposed model-driven tooling enables developers to work at higher abstraction levels and fosters automatic code generation. It is underpinned by ontologies to minimize discontinuities in the development workflow, with an integrated development environment presenting a seamless interface to the user. First results show the viability and synergy of the selected approach when searching for or developing software with reuse in mind.Comment: Presented at DSLRob 2015 (arXiv:1601.00877), Stefan Zander, Georg Heppner, Georg Neugschwandtner, Ramez Awad, Marc Essinger and Nadia Ahmed: A Model-Driven Engineering Approach for ROS using Ontological Semantic

An overview of manufacturing knowledge sharing in the product development process

This paper provides an overview of reported research relevant to the management of manufacturing related knowledge and highlights the sharing of knowledge in the product development process. Previous research and concepts reported by international researchers and examples of the research projects carried out by the authors’ research teams will also be introduced. Publications reviewed are in the scope of information, communication and knowledge management technologies in product development and manufacturing. Some key concepts and issues in knowledge management are introduced first, as a foundation for the remainder of the review. The different approaches to knowledge management and knowledge sharing, and the different types of knowledge and key issues in the product development process are discussed. Then manufacturing knowledge and its application in the product development is reviewed. The focus is given to the discussion of the approaches to sharing manufacturing knowledge relating to the product development process and indicating the future challenges and research directions

Third Conference on Artificial Intelligence for Space Applications, part 2

Topics relative to the application of artificial intelligence to space operations are discussed. New technologies for space station automation, design data capture, computer vision, neural nets, automatic programming, and real time applications are discussed

Towards an Ontology for Product Version Management

During its lifecycle, products are affected by market, technology, and user requirements. Without a process for efficiently handling product changes, product data, which is spread in different areas and systems, might become unusable, incomplete, or inconsistent. A simple change on product information may trigger a domino effect that could be very difficult to control. In order to reduce this effect, knowledge is important to answer what, when, why, and how a change occurred. This article proposes an ontology that allows capturing product changes in order to answer the aforementioned questions. The proposed ontology extends PRoductONTOlogy (PRONTO) (Vegetti et al., 2011) to represent product family changes. OWL implementation of the proposed ontology is presented with a simple case study to validate it.Fil: Sonzini, Maria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Vegetti, Maria Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Leone, Horacio Pascual. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentin