The article describes a system for describing and recognizing spatial and temporal patterns of events. The system is based on an ontology described through the Description Logics formalism and implemented in OWL DL. The approach is different from all other works in the literature since the system does not require an external reasoning engine, but relies only on the base mechanism for ontology classification. Experiments performed in two different scenarios are described, i.e., a Smart Home and a mobile robot for autonomous transportation operating within a partially automated building
Ubiquitous Robotics is a novel paradigm aimed at addressing the coordinated behaviour of robots in e...
Robotic systems operating in the real world would benefit from a clear semantic model to understand ...
International audienceThe symbolic spatio-temporal reasoning is one of the major research challenges...
The article describes a system for context assessment, which is based on an ontology described throu...
This paper describes a system for context awareness in smart environments, which is based on an onto...
Abstract — Object recognitions are challenging tasks, especially invisible object recognition in cha...
This paper introduces a framework for enabling context-aware behaviors in smart environment applicat...
This paper reports results from the ongoing research relating to the development on the context onto...
Part 1: Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT)International audienceSma...
A mobile robot that interacts with its environment needs a machine-understandable representation of ...
Recently, the visualization of the spatial data is gaining importance in the ubiquitous computing. I...
A temporal logic for representing and reasoning on a robotic domain is presented. Actions are repre...
A mechanism is described that enables a robotic agent to create temporal categories for conceptualiz...
International audienceIt is important, for human-robot interaction, to endow the robot with the know...
The goal of semantic web research is to turn the World-Wide Web into a Web of Data that can be proce...
Ubiquitous Robotics is a novel paradigm aimed at addressing the coordinated behaviour of robots in e...
Robotic systems operating in the real world would benefit from a clear semantic model to understand ...
International audienceThe symbolic spatio-temporal reasoning is one of the major research challenges...
The article describes a system for context assessment, which is based on an ontology described throu...
This paper describes a system for context awareness in smart environments, which is based on an onto...
Abstract — Object recognitions are challenging tasks, especially invisible object recognition in cha...
This paper introduces a framework for enabling context-aware behaviors in smart environment applicat...
This paper reports results from the ongoing research relating to the development on the context onto...
Part 1: Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT)International audienceSma...
A mobile robot that interacts with its environment needs a machine-understandable representation of ...
Recently, the visualization of the spatial data is gaining importance in the ubiquitous computing. I...
A temporal logic for representing and reasoning on a robotic domain is presented. Actions are repre...
A mechanism is described that enables a robotic agent to create temporal categories for conceptualiz...
International audienceIt is important, for human-robot interaction, to endow the robot with the know...
The goal of semantic web research is to turn the World-Wide Web into a Web of Data that can be proce...
Ubiquitous Robotics is a novel paradigm aimed at addressing the coordinated behaviour of robots in e...
Robotic systems operating in the real world would benefit from a clear semantic model to understand ...
International audienceThe symbolic spatio-temporal reasoning is one of the major research challenges...