Browsing by Author "Li, Howard"
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- Internet of robotic things evolution, standards and data interoperability best practices for the next generation of artificial intelligence‐powered systemsPublication . Gyrard, Amelie; Freitas, Edison Pignaton de; Serrano, Martin; Li, Howard; Gonçalves, Paulo; Quintas, João; Vermesan, Ovidiu; Olivares‐Alarcos, Alberto; Kung, Antonio; Cavallo, FilippoThe Internet of Robotic Things (IoRT) represents the rise of a new paradigm enabling robots to serve not only as autonomous units but also as intelligent interconnected entities that can interact, collaborate, and share information through the edge, cloud and other data networks. IoRT is a technological progress and the fusion of Robotics with the Internet of Things (IoT), artificial intelligence (AI), and edge‐Computing, IoRT can benefit from the next‐generation spatial web, Web 4.0 (the intelligent immersive knowledge Web), by enhancing data processing, situational awareness, and integration with immersive technologies, software‐defined automation (SDA), and spatial computing technologies. Semantic Web and Web 4.0 technologies are becoming common in robotics projects for exchanging data and enabling data set interoperability. The main challenge is to upgrade how robotic things interact with each other and their environment in a more situation‐aware fashion, enabling IoRT situation‐aware capabilities. This paper reviews the definition of IoRT considering the latest developments in sensor technology and data management systems and uses a novel survey methodology to find, classify, and reuse robotic expertise and present it to the community and engineering experts. The survey is shared through the LOV4IoT‐Robotics ontology catalog, which is available online. This catalog demonstrates how best practices for data sharing and data set interoperability are also used to extract robotic knowledge semi‐automatically. A set of relevant semantic‐enabled projects designed by domain experts that focused on extracting robotic knowledge was included.
- 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.
- Standard ontologies and HRIPublication . Fiorini, Sandro; Chibani, Abdelghani; Haidegger, Tamás; Carbonera, Joel Luis; Schlenoff, Craig; Malec, Jacek; Prestes, Edson; Gonçalves, Paulo; Ragavan, S. Veera; Li, Howard; Nakawala, Hirenkumar; Balakirsky, Stephen; Bouznad, Sofiane; Ayari, Noauel; Amirat, YacineAn overview of the 1872-205 IEEE standard and the efforts related to it.