Publications

• Article dans une revue

Reduced-order model based dynamic tracking for soft manipulators: Data-driven LPV modeling, control design and experimental results

Shijie Li, Tran Anh-Tu Nguyen, Thierry-Marie Guerra, Alexandre Kruszewski

We propose a generic nonlinear reduced-order tracking control method for elastic soft robots. To this end, a new linear parameter varying (LPV) control framework is developed using the data collected from the soft robots. Specifically, for LPV modeling we first derive a nonlinear robot model, which…

Control Engineering Practice, 2023, 138, pp.105618. ⟨10.1016/j.conengprac.2023.105618⟩. ⟨hal-04278797⟩

• Article dans une revue

Covering delivery problem with electric vehicle and parcel lockers: Variable neighborhood search approach

Milena Vukićević, Mustapha Ratli, Atika Rivenq, Maria Zrikem

AbstractMinimizing total delivery time and carbon footprint in last mile delivery presents a real challenge in logistic field. Usage of electric vehicles in combination with parcel lockers responds to these challenges. In this paper we introduce the covering delivery problem in last mile with…

Computers and Operations Research, 2023, 157, pp.106263. ⟨10.1016/j.cor.2023.106263⟩. ⟨hal-04107408⟩

• Thèse

Efficient Hardware-aware Neural Architecture Search for Edge Computing, Optimisation Automatique des Applications d'Apprentissage Profond sur Plateformes Matérielles Edges

Hadjer Benmeziane

It is widely anticipated that inference models based on Deep Neural Networks (DNN) will be actively employed in many edge platforms due to several compelling reasons. Firstly, DNNs have demonstrated exceptional performance in various complex tasks such as image recognition, natural language…, Les modèles d'inférence basés sur les réseaux neuronaux profonds (eng, Deep Neural Networks (DNN)) sont largement utilisés dans de nombreuses platesformes de périphérie pour plusieurs raisons. Premièrement, les DNN ont démontré des performances exceptionnelles dans diverses tâches complexes…

Machine Learning [cs.LG]. Université Polytechnique Hauts-de-France, 2023. English. ⟨NNT : 2023UPHF0022⟩. ⟨tel-04224035⟩

• Cours

Effects of Moving Speed and Phone Location on Eyes-Free Gesture Input with Mobile Devices

Milad Jamalzadeh, Yosra Rekik, Laurent Grisoni, Radu-Daniel Vatavu, Gualtiero Volpe, Alexandru Dancu

Using smartphones while moving is challenging and can be dangerous. Eyes-free input gestures can provide a means to use smartphones without the need for visual attention from users. In this study, we investigated the effect of different moving speeds (standing, walking, or jogging) and different…

Doctoral. York (Great Britain), United Kingdom. 2023. ⟨hal-04204270⟩

• Cours

Hap2Gest: An Eyes-Free Interaction Concept with Smartphones Using Gestures and Haptic Feedback

Milad Jamalzadeh, Yosra Rekik, Alexandru Dancu, Laurent Grisoni

Smartphones are used in different contexts, including scenarios where visual and auditory modalities are limited (e.g., walking or driving). In this context, we introduce a new interaction concept, called Hap2Gest, that can give commands and retrieve information, both eyes-free. First, it uses a…

Doctoral. York (United Kingdom), United Kingdom. 2023. ⟨hal-04204271⟩

• Communication dans un congrès

Effects of Moving Speed and Phone Location on Eyes-Free Gesture Input with Mobile Devices

Milad Jamalzadeh, Yosra Rekik, Laurent Grisoni, Radu-Daniel Vatavu, Gualtiero Volpe, Alexandru Dancu

Using smartphones while moving is challenging and can be dangerous. Eyes-free input gestures can provide a means to use smartphones without the need for visual attention from users. In this study, we investigated the effect of different moving speeds (standing, walking, or jogging) and different…

19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part I, Aug 2023, York, United Kingdom. pp.469-478, ⟨10.1007/978-3-031-42280-5_30⟩. ⟨hal-04204264⟩

• Communication dans un congrès

Hap2Gest: An Eyes-Free Interaction Concept with Smartphones Using Gestures and Haptic Feedback

Milad Jamalzadeh, Yosra Rekik, Alexandru Dancu, Laurent Grisoni

Smartphones are used in different contexts, including scenarios where visual and auditory modalities are limited (e.g., walking or driving). In this context, we introduce a new interaction concept, called Hap2Gest, that can give commands and retrieve information, both eyes-free. First, it uses a…

19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Aug 2023, York, United Kingdom. pp.479-500, ⟨10.1007/978-3-031-42280-5_31⟩. ⟨hal-04204265⟩

• Communication dans un congrès

Evaluating the Acceptance of a Software Application Designed to Assist Communication for People with Parkinson’s Disease

Julia Greenfield, Káthia Marçal de Oliveira, Véronique Delcroix, Sophie Lepreux, Christophe Kolski, Anne Blanchard-Dauphin

Parkinson’s disease (PD) is a neurodegenerative disorder that affects a huge number of people. People with PD may have trouble speaking. Impeded speech affects 70% of people with PD and this can have particularly harmful consequences linked to social exclusion and isolation. Considering this…

Human-Computer Interaction - INTERACT 2023, 19th IFIP TC13 International Conference, Aug 2023, York, UK, United Kingdom. pp.155-164, ⟨10.1007/978-3-031-42280-5_10⟩. ⟨hal-05363763⟩

• Ouvrages

Handbook of Thermal Management Systems

Fethi Aloui, Edwin Geo Varuvel, Ankit Sonthalia

Handbook of Thermal Management Systems: e-Mobility and Other Energy Applications is a comprehensive reference on the thermal management of key renewable energy sources and other electronic components. With an emphasis on practical applications, the book addresses thermal management systems of…

Elsevier, 2023, 9780443190179. ⟨hal-04132772⟩

• N°spécial de revue/special issue

Introduction to the special issue on Intelligent Control and Optimisation

Seán Mcloone, Kevin Guelton, Thierry Guerra, Gian Antonio Susto, Juš Kocijan, Diego Romeres

Engineering Applications of Artificial Intelligence, 123 (Part B), pp.106325, 2023, ⟨10.1016/j.engappai.2023.106325⟩. ⟨hal-04083466⟩