Ontology for autonomous robotics

Creating a standard for knowledge representation and reasoning in autonomous robotics is an urgent task if we consider recent advances in robotics as well as predictions about the insertion of robots in human daily life. Indeed, this will impact the way information is exchanged between multiple robots or between robots and humans and how they can all understand it without ambiguity. Indeed, Human Robot Interaction (HRI) represents the interaction of at least two cognition models (Human and Robot). Such interaction informs task composition, task assignment, communication, cooperation and coordination in a dynamic environment, requiring a flexible representation. Hence, this paper presents the IEEE RAS Autonomous Robotics (AuR) Study Group, which is a spin-off of the IEEE Ontologies for Robotics and Automation (ORA) Working Group, and its ongoing work to develop the first IEEE-RAS ontology standard for autonomous robotics. In particular, this paper reports on the current version of the ontology for autonomous robotics as well as on its first implementation successfully validated for a human-robot interaction scenario, demonstrating the developed ontology’s strengths which include semantic interoperability and capability to relate ontologies from different fields for knowledge sharing and interactions.info:eu-repo/semantics/publishedVersio

The first global ontological standard for ethically driven robotics and automation systems

In the complex and rapidly evolving fields of artificial intelligence (AI) and robotics, the elaboration of ethical concerns, considerations, and requirements helps elucidate the nature of technology’s reach and impact on society where there is a legal void. Thus, establishing ethics in AI and robotics is fundamental to identifying their potential risks and benefits, especially in our pandemicwrecked world [1]. The development of AI and robotics within an ethical framework enables the anticipation of future application contexts and articulation of uses that do not yet exist. Ethical considerations help to create a much-desired relationship between technology and human values and address the impacts a technology can have, thereby addressing issues of trust, safety, security, data privacy, and algorithmic bias. The need for an ethical framework is urgent because of the increasing adoption and use of autonomous and intelligent systems (A/ISs) in many domains, such as health care, education, finance, and insurance services

Ontologies for Industry 4.0

The current fourth industrial revolution, or ‘Industry 4.0’ (I4.0), is driven by digital data, connectivity, and cyber systems, and it has the potential to create impressive/new business opportunities. With the arrival of I4.0, the scenario of various intelligent systems interacting reliably and securely with each other becomes a reality which technical systems need to address. One major aspect of I4.0 is to adopt a coherent approach for the semantic communication in between multiple intelligent systems, which include human and artificial (software or hardware) agents. For this purpose, ontologies can provide the solution by formalizing the smart manufacturing knowledge in an interoperable way. Hence, this paper presents the few existing ontologies for I4.0, along with the current state of the standardization effort in the factory 4.0 domain and examples of real-world scenarios for I4.0.Peer ReviewedPostprint (published version

INTEGRAL @ INAF-IASF Milano: from Archives to Science

In this work, we give an overview of the INTEGRAL archival activities performed at INAF-IASF Milano, along with highlights of the scientific results obtained on High Mass X-ray Binaries. A few years after the launch of INTEGRAL, in order to increment and ease the exploitation of the data at INAF-IASF Milano, we prepared and maintained an INTEGRAL archive named ’GOLIA’. This gave us full control over what was being done and how, and enabled unexpected discoveries and systematic studies, stimulating new investigations and collaborations. Indeed, GOLIA allowed us to discover the (currently only) outburst periodicity from a Supergiant Fast X-ray Transient: IGRJ11215-5952. Starting from this discovery, and thanks to the population study approach offered by such an archive, we undertook a journey to understand Supergiant Fast X-ray Transients within the wider scenario of High Mass X-ray Binaries, tackling several long-term aspects: cumulative luminosity distributions, energy and temporal properties of bright flares, large-scale wind structures. Given the very productive outcome of such an approach, we decided to build a second generation archive in IASF Milano, named ANITA (A New InTegral Archive), with improved hardware and software performances

Towards a robot task ontology standard

Ontologies serve robotics in many ways, particularly in de- scribing and driving autonomous functions. These functions are built around robot tasks. In this paper, we introduce the IEEE Robot Task Representation Study Group, including its work plan, initial development efforts, and proposed use cases. This effort aims to develop a standard that provides a comprehensive on- tology encompassing robot task structures and reasoning across robotic domains, addressing both the relationships between tasks and platforms and the relationships between tasks and users. Its goal is to develop a knowledge representation that addresses task structure, with decomposition into subclasses, categories, and/or relations. It includes attributes, both common across tasks and specific to particular tasks and task types

Defining positioning in a core ontology for robotics

Unambiguous definition of spatial position and orientation has crucial importance for robotics. In this paper we propose an ontology about positioning. It is part of a more extensive core ontology being developed by the IEEE RAS Working Group on ontologies for robotics and automation. The core ontology should provide a common ground for further ontology development in the field. We give a brief overview of concepts in the core ontology and then describe an integrated approach for representing quantitative and qualitative position information.3-7 November 201