Naouel Ayari

Altran · Department of Research

This paper reports our progress in integratingb the Narrative Knowledge Representation Language (NKRL) components according to the HARMS model to build intelligent assistive services in Ambient Assisted Living (AAL) applications. NKRL is used to define reasoning and interaction rules that allow the HARMS actors to proactively decide to communicate,...

Golomb Ruler Problem (GRP) is very hard combinatorial optimization problem which has received considerable attention over the last decades. In this paper, we propose a new parallel evolutionary algorithm for Golomb Rulers. In addition, the paper analyzes fitness landscapes and presents an efficient incremental evaluation to evaluate neighbors.With...

In this paper, we present a semantic framework that is intended to enable natural interactions between ubiquitous robots and humans in Ambient Intelligence(AmI) environments. The main contribution of this paper is the extension of the core of the Narrative Knowledge Representation Language (NKRL) framework with semantic modules to allow on one hand...

This paper presents a semantic approach for human-robot interaction in ambient intelligence environments (AmI). This approach is intended to provide a natural way for multimodal interactions between human and artificial agents embodied in cognitive companion robots or in any AmI smart device. It is applied for building cognitive assistance services...

In recent years, with the massive use of Golomb rulers in various fields of engineering, new optimal rulers have become an important subject of search. Many different approaches have been proposed to tackle the Golomb ruler problem such as exact methods, constraint programming, local searches and evolutionary algorithms. This paper describes an hyb...

Endowing the robotic systems with cognitive capabilities for recognizing daily activities of humans is an important challenge, which requires sophisticated and novel approaches. Most of the proposed approaches explore pattern recognition techniques which are generally based on hand-crafted features or learned features. In this paper, a novel Hierar...

To provide, anywhere and anytime, smart assistive services to people, cognitive robots and agents need to be endowed with advanced spatio-temporal knowledge representation and reasoning capabilities. In this paper, a semantic approach for cloud-assisted robotics integrating entities of the ambient environment is proposed. Its principle consists of...

In this paper, the problem of endowing ubiquitous robots with cognitive capabilities for recognizing emotions, sentiments, affects and moods of humans, in their context, is studied. A hybrid approach based on multilayer perceptron (MLP) neural network and n-ary ontologies for emotion-aware robotic systems is proposed. In particular, an algorithm ba...

The next generation of ambient assisted living services will be based on eco-systems or organizations of intelligent artificial agents embodied in companion robots and smart objects. To provide, anywhere and anytime, smart assistance services to people, these agents need to be endowed with advanced knowledge representation, reasoning and communicat...

In this chapter we discuss the necessity to move beyond built-in monotonic semantic web based reasoning-architectures for endowing ubiquitous robots with cognitive capabilities, which are strongly required in ambient assistive living, towards new architectures that combine different reasoning mechanisms to achieve better context awareness and adapt...

The Ambient Intelligence (AmI) technologies have the potential to create intelligent environments with new generation of assistive services, enhanced with ubiquitous robots. These environments have the ability to be anticipatory, responsive and intelligent providers of assistive services anytime and anywhere. These services can assist frail persons...