Browsing by Author "Olszewska, Joanna Isabelle"
Now showing 1 - 5 of 5
Results Per Page
Sort Options
- Ontological concepts for information sharing in cloud roboticsPublication . Freitas, Edison Pignaton de; Olszewska, Joanna Isabelle; Carbonera, Joel Luis; Fiorini, Sandro; Khamis, Alaa; Ragavan, S. Veera; Barreto, Marcos; Prestes, Edson; Habib, Maki K.; Redfield, Signe; Chibani, Abdelghani; Gonçalves, Paulo; Bermejo-Alonso, Julita; Sanz, Ricardo; Tosello, Elisa; Olivares-Alarcos, Alberto; Konzen, Andrea Aparecida; Quintas, João; Li, HowardRecent research and developments in cloud robotics (CR) require appropriate knowledge representation to ensure interoperable data, information, and knowledge sharing within cloud infrastructures. As an important branch of the Internet of Things (IoT), these demands to advance it forward motivates academic and industrial sectors to invest on it. The IEEE ’Ontologies for Robotics and Automation’ Working Group (ORA WG) has been developing standard ontologies for different robotic domains, including industrial and autonomous robots. The use of such robotic standards has the potential to benefit the Cloud Robotic Community (CRC) as well, supporting the provision of ubiquitous intelligent services by the CR-based systems. This paper explores this potential by developing an ontological approach for effective information sharing in cloud robotics scenarios. It presents an extension to the existing ontological standards to cater for the CR domain. The use of the new ontological elements is illustrated through its use in a couple of CR case studies. To the best of our knowledge, this is the first work ever that implements an ontology comprising concepts and axioms applicable to the CR domain.
- Ontology for autonomous roboticsPublication . Gonçalves, Paulo; Li, Howard; Fiorini, Sandro; Olszewska, Joanna IsabelleCreating 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.
- A review and comparison of ontology-based approaches to robot autonomyPublication . Olivares-Alarcos, Alberto; Beßler, Daniel; Khamis, Alaa; Gonçalves, Paulo; Habib, Maki K.; Bermejo-Alonso, Julita; Barreto, Marcos; Diab, Mohammed; Rosell, Jan; Quintas, João; Olszewska, Joanna Isabelle; Nakawala, Hirenkumar; Pignaton, Edison; Gyrard, Amelie; Borgo, Stefano; Alenyà, Guillem; Beetz, Michael; Li, HowardWithin the next decades, robots will need to be able to execute a large variety of tasks autonomously in a large variety of environments. To relax the resulting programming effort, a knowledge-enabled approach to robot programming can be adopted to organize information in re-usable knowledge pieces. However, for the ease of reuse, there needs to be an agreement on the meaning of terms. A common approach is to represent these terms using ontology languages that conceptualize the respective domain. In this work, we will review projects that use ontologies to support robot autonomy. We will systematically search for projects that fulfill a set of inclusion criteria and compare them with each other with respect to the scope of their ontology, what types of cognitive capabilities are supported by the use of ontologies, and which is their application domain.
- 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.