Browsing by Author "Olivares Alarcos, Alberto"
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A review and comparison of ontology-based approaches to robot autonomy
Olivares Alarcos, Alberto; Bebler, Daniel; Khamis, Alaa; Goncalves, Paulo; Habib, Maki K.; Bermejo Alonso, Julita; Barreto, Marcoss; Diab, Mohammed; Rosell Gratacòs, Jan; Quintas, João; Olszewska, Joanna; Nakawala, Hirenkumar; Pignaton de Freitas, Edison; Gyrard, Amelie; Borgo, Stefano; Alenyà Ribas, Guillem; Beetz, Michael; Li, Howard (2019-01-01)
Article
Open AccessWithin 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 ... -
IEEE Standard for Autonomous Robotics Ontology [Standards]
Goncalves, Paulo; Olivares Alarcos, Alberto; Bermejo Alonso, Julita; Borgo, Stefano; Diab, Mohammed; Habib, Maki K.; Nakawala, Hirenkumar; Kumar, Veera Ragavan Sampath; Sanz Cortiella, Ricardo; Tosello, Elisa; Li, Howard (2021)
Article
Open AccessThe IEEE1872.2 Autonomous Robotics (AuR) Ontology Working Group has recently developed the AuR ontology standard. This standard is a logical extension to IEEE 1872–2015 Standard Ontologies for Robotics and Automation, core ... -
Knowledge representation for explainability in collaborative robotics and adaptation
Olivares Alarcos, Alberto; Foix Salmerón, Sergi; Alenyà Ribas, Guillem (CEUR-WS.org, 2021)
Conference report
Open AccessAutonomous robots are going to be used in a large diversity of contexts, interacting and/or collaborating with humans, who will add uncertainty to the collaborations and cause re-planning and adaptations to the execution ... -
OCRA – An ontology for collaborative robotics and adaptation
Olivares Alarcos, Alberto; Foix Salmerón, Sergi; Borgo, Stefano; Alenyà Ribas, Guillem (2022)
Article
Open AccessIndustrial collaborative robots will be used in unstructured scenarios and a large variety of tasks in the near future. These robots shall collaborate with humans, who will add uncertainty and safety constraints to the ... -
On inferring intentions in shared tasks for industrial collaborative robots
Olivares Alarcos, Alberto; Foix Salmerón, Sergi; Alenyà Ribas, Guillem (2019)
Article
Open AccessInferring human operators' actions in shared collaborative tasks, plays a crucial role in enhancing the cognitive capabilities of industrial robots. In all these incipient collaborative robotic applications, humans and ... -
Ontological concepts for information sharing in cloud robotics
Pignaton de Freitas, Edison; Olszewska, Joanna; Carbonera, Joel Luís; Fiorini, Sandro; Khamis, Alaa; Kumar, Veera Ragavan Sampath; Barreto, Marcoss; Prestes, Edson; Habib, Maki K.; Redfield, Signe; Chibani, Abdelghani; Goncalves, Paulo; Bermejo Alonso, Julita; Sanz, Ricardo; Tosello, Elisa; Olivares Alarcos, Alberto; Konzen, Andrea Aparecida; Quintas, João; Li, Howard (Springer, 2020-06-10)
Article
Open AccessRecent 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 ... -
Ontologies for industry 4.0
Kumar, Veera Ragavan Sampath; Khamis, Alaa; Fiorini, Sandro; Carbonera, Joel Luís; Olivares Alarcos, Alberto; Habib, Maki K.; Goncalves, Paulo; Li, Howard; Olszewska, Joanna (2019-01-01)
Article
Open AccessThe 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 ... -
Recurrent neural networks for inferring intentions in shared tasks for industrial collaborative robots
Maceira Duch, Marc; Olivares Alarcos, Alberto; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2020)
Conference report
Open AccessIndustrial robots are evolving to work closely with humans in shared spaces. Hence, robotic tasks are increasingly shared between humans and robots in collaborative settings. To enable a fluent human robot collaboration, ... -
Robot explanatory narratives of collaborative and adaptive experiences
Olivares Alarcos, Alberto; Andriella, Antonio; Foix Salmerón, Sergi; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2023)
Conference report
Open AccessIn the future, robots are expected to autonomously interact and/or collaborate with humans, who will increase the uncertainty during the execution of tasks, provoking online adaptations of robots' plans. Hence, trustworthy ... -
Semantic distances between medical entities
Olivares Alarcos, Alberto (Universitat Politècnica de Catalunya, 2018-04)
Master thesis
Open AccessIn this thesis, three different similarity measures between medical entities (drugs) have been implemented. Each of those measures have been computed over one or more dimensions of the drugs: textual, ... -
Skill-oriented designer of conceptual robotic structures
Ramos, Francisco; Scrob, Cristian O.; Vázquez Fernández-Pacheco, Andrés S.; Fernández Rodríguez, Raúl; Olivares Alarcos, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2018)
Conference report
Open AccessThis communication presents an application for the use of ontologies in the generation of robot structures. The ontology developed for this app relies on the IEEE Standard Ontologies for Robotics and Automation (ORA) and ... -
Time to contact for robot safety stop in close collaborative tasks
Olivares Alarcos, Alberto; Foix, Sergi; Alenyà Ribas, Guillem (IET Digital Library, 2023-08)
Part of book or chapter of book
Restricted access - publisher's policyWithin the next years, industrial collaborative robots will collaborate with human operators, whose safety might be compromised. To ensure a safe collaboration, robots should estimate the risk of collision with respect to ... -
Visual feedback for humans about robots' perception in collaborative environments
Gassó Loncan, Juan Cruz; Olivares Alarcos, Alberto; Alenyà Ribas, Guillem (2020-07-20)
Research report
Open AccessDuring the last years, major advances on artificial intelligence have successfully allowed robots to perceive their environment, which not only includes static but also dynamic objects such as humans. Indeed, robotic ...