Browsing by Author "Fabiano, Nicola"
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- Robotic standard development life cycle in actionPublication . Olszewska, Joanna Isabelle; Houghtaling, Michael A.; Gonçalves, Paulo; Fabiano, Nicola; Haidegger, Tamás; Carbonera, Joel Luis; Patterson, William Remington; Ragavan, S. Veera; Fiorini, Sandro; Prestes, EdsonRobotics is a fast-growing field which requires the efficient development of adapted standards. Hence, in this paper, we propose a development methodology to support the robot standardization effort led by international, technical, and professional associations such as the Institute of Electrical and Electronics Engineers (IEEE). Our proposed standard development life cycle is a middle-out, iterative, collaborative, and incremental approach we have successfully applied to the development of the new IEEE Ontological Standard for Ethically Driven Robotics and Automation Systems (IEEE P7007 Standard).
- Standardizing an ontology for ethically aligned robotic and autonomous systemsPublication . Houghtaling, Michael A.; Fiorini, Sandro; Fabiano, Nicola; Gonçalves, Paulo; Ulgen, Ozlem; Haidegger, Tamás; Carbonera, Joel Luis; Olszewska, Joanna Isabelle; Page, Brian; Murahwi, Zvikomborero; Prestes, EdsonDomain-specific ontologies support system design and can establish a framework for fulfilling user-level, safety, or ethical requirements. The IEEE 7007-2021 Ontological Standard for ethically driven robotics and automation systems is the first industry standard to introduce a structure of ontologies concerning robot ethics and related fields, such as data privacy, transparency, responsibility, and accountability, offering a systems science approach to support the ethically aligned design of complex cyber–physical systems (CPSs) and robots particularly. This article provides a comprehensive overview of the main ontological commitments composing the foundation of the standard, the rationale behind their development, together with use cases of applications. Future directions for ethically aligned robotics and artificial intelligence (AI)-based systems along IEEE 7007-2021 are outlined, taking into account the exponentially growing fields of service and medical robotics.