12 offres digital analyst trouvées

Abstract This internship is part of the CESI LINEACT DYNALOG project, which aims to optimize fleets of autonomous robots[1] in warehouse environments through a dynamic architecture coupled with a digital twin. The objective is to study and compare different local optimisation strategies for multi-robot flows organised globally in a high-density storage environment. The work will combine algorithm design, simulation-based validation, and experimental deployment on real robotic platforms. Laboratory presentation CESI LINEACT (UR 7527), Laboratory for Digital Innovation for Businesses and Learning to Support the Competitiveness of Territories, anticipates and accompanies the technological mutations of sectors and services related to industry and construction. The historical proximity of CESI to companies is a determining factor in our research activities. It has led us to focus our efforts on applied research close to companies and in partnership with them. A human-centered approach...

Title: Effects of an Attentional Modulation Device on the Stages of Collective Decision-Making Scientific Fields: Strategic Management & Innovation Keywords: Innovation Management - Collective Decision-Making - Emotional Regulation - Cooperation Supervision Supervisor: Jean-Marc VASNIER - Associate professor - Saint Nazaire Campus, France Elodie PILLON - Associate professor - Rouen Campus, France Research work Internship Summary This internship is part of the energy-saving program "Mon Trajet Vert" ("My Green Commute"), which aims to promote sustainable and equitable mobility within higher education and research institutions. The objective of the internship is to analyse the effects of an attentional modulation device on the stages of collective decision-making. The device is used as a cognitive and emotional facilitation tool, likely to influence dynamics of cooperation, communication, and trust during collective decision-making tasks. Using a simulated experimental...

Title: Bridging Robotic Systems and Simulation: ROS and Industrial Communication Integration for Optimizing Intralogistics Titre : Intégration des robots réels et de leur simulation : utilisation de ROS et des protocoles industriels pour l'optimisation de l'intralogistique. Abstract Keywords: Intralogistics, ROS, Robotic Simulation, Gazebo, Digital Twin, Industrial Communication, Robotics. As part of the DYNALOG project, this six-month research internship aims to optimize intralogistics through the seamless integration of real and simulated robotic systems. By leveraging ROS (Robot Operating System) and industrial communication frameworks, the work focuses on developing a unified communication interface to connect physical robots, their digital twins (simulated in Gazebo/Omniverse), and mission/fleet controllers. This integration is required to validate robotic missions, in order to ensure consistency between simulation and real-world operations, and enhance the performance,...

Laboratory presentation CESI LINEACT (UR 7527), Laboratory for Digital Innovation for Businesses and Learning to Support the Competitiveness of Territories, anticipates and accompanies the technological mutations of sectors and services related to industry and construction. The historical proximity of CESI to companies is a determining factor in our research activities. It has led us to focus our efforts on applied research close to companies and in partnership with them. A human-centered approach coupled with the use of technologies, as well as territorial networking and links with training, has enabled the construction of cross-cutting research; it puts humans, their needs, and their uses at the center of its issues and addresses the technological angle through these contributions. Its research is organized according to two interdisciplinary scientific teams and several application areas. * Team 1 'Learning and Innovating' mainly concerns Cognitive Sciences, Social Sciences,...

Laboratory presentation CESI LINEACT (UR 7527), Laboratory for Digital Innovation for Businesses and Learning to Support the Competitiveness of Territories, anticipates and accompanies the technological mutations of sectors and services related to industry and construction. The historical proximity of CESI to companies is a determining factor in our research activities. It has led us to focus our efforts on applied research close to companies and in partnership with them. A human-centered approach coupled with the use of technologies, as well as territorial networking and links with training, has enabled the construction of cross-cutting research; it puts humans, their needs, and their uses at the center of its issues and addresses the technological angle through these contributions. Its research is organized according to two interdisciplinary scientific teams and several application areas. * Team 1 'Learning and Innovating' mainly concerns Cognitive Sciences, Social Sciences,...

Laboratory presentation CESI LINEACT (UR 7527), Laboratory for Digital Innovation for Businesses and Learning to Support the Competitiveness of Territories, anticipates and accompanies the technological mutations of sectors and services related to industry and construction. The historical proximity of CESI to companies is a determining factor in our research activities. It has led us to focus our efforts on applied research close to companies and in partnership with them. A human-centered approach coupled with the use of technologies, as well as territorial networking and links with training, has enabled the construction of cross-cutting research; it puts humans, their needs, and their uses at the center of its issues and addresses the technological angle through these contributions. Its research is organized according to two interdisciplinary scientific teams and several application areas. * Team 1 'Learning and Innovating' mainly concerns Cognitive Sciences, Social Sciences,...

Joining LINEACT at CESI for a research internship would be a fantastic opportunity to contribute to innovative projects while deepening my skills in a cutting-edge environment Abstract The study explores the development and utilization of digital twins and extended reality tools to enhance remote maintenance procedures, focusing on creating a functional digital twin and developing an interface for device control in extended reality. Keywords : Extended Reality, Digital twin The technological advancements of Industry 4.0 and the human-centric approaches of Industry 5.0 have paved the way for the implementation of new methodologies and technologies, including digital twins (DT) and extended reality (XR) tools. However, the increasing complexity of installations, combined with the need for external expertise during maintenance operations, calls for a rethinking of remote assistance methods. To address these challenges, our work focuses on utilizing these technologies to improve...

Intégrer LINEACT au sein de CESI pour un stage de recherche serait une formidable opportunité de contribuer à des projets innovants, tout en approfondissant mes compétences dans un environnement à la pointe de la transformation numérique et de l'industrie 4.0. Abstract This internship focuses on advancing the integration of AI into production lines by leveraging profilometer data to optimize waste reduction and enhance precision. This M2 internship aims to develop the step 4 of the project, whose goal is to integrate Artificial Intelligence (AI) into the production line to reduce waste using the profilometers data. The tasks assigned to the intern are as follows: • Clean the point cloud to only extract the front part and determine if the point cloud is incomplete • Match the CAD of the front part with its cloud point acquired by the laser profilometer. • Determine the key area used to match the back and front part of the product. • Creation of CAD back cover with defaults...

Joining LINEACT at CESI for a research internship would be a fantastic opportunity to contribute to innovative projects while deepening my skills in a cutting-edge environment focused in Computer Science Keywords Cloud, Data compression, Edge, Extended Reality, Digital Twins, IIoT, Unity, OPCUA. Abstract Extended Reality (XR) and Digital Twin (DT) technologies are transforming the Industrial Internet of Things (IIoT), offering significant potential for next-generation industrial applications. This internship aims to enhance collaborative XR experiences coupled with DT to deliver improved Quality of Service (QoS) and Quality of Experience (QoE) for both on-site and remote users. Building on an existing XR environment that integrates DT and real-time pose estimation in Augmented Reality (AR), the project seeks to extend its application to the aerospace industry. Additionally, the internship will explore data compression techniques to enhance the realism and dynamism of XR...

Joining LINEACT at CESI for a research internship would be a fantastic opportunity to contribute to innovative projects while deepening my skills in a cutting-edge environment Abstract The Mediterranean climate in southern France is characterized by long and hot summers and mild winters. Under these conditions, understanding the impact of HVAC systems on the comfort of office occupants and their adaptive behaviors is important to create a comfortable indoor thermal environment. The objective of this study is to understand the effects of occupants' air conditioning/heating switching behavior on thermal satisfaction in two-person offices of buildings located in Montpellier in southern France and equipped with an air-water heat pump HVAC system. Indoor temperature and indoor relative humidity were collected (10-min intervals), occupancy and weather (outdoor temperature, relative humidity, and wind speed) data were collected over one year. Moreover, the air-conditioning/heating...

Scientific fields: Artificial Intelligence, Machine Learning, Feature Selection, Digital Health. Keywords: Feature Selection, Multimodal Data, Real-Time, Monitoring, Fall-detection, Health. Internship Topic Stress and emotion monitoring systems play a crucial role in mental health management, especially given the global rise in psychological disorders. Wearable devices equipped with sensors such as ECG (electrocardiogram), PPG (photoplethysmogram), EDA (electrodermal activity), and motion sensors provide a rich source of data for stress and emotion analysis. However, the high dimensionality and noise present in these multimodal datasets pose challenges for efficient processing and interpretability. Feature selection is essential for building robust and interpretable models. Recent advancements in explainable AI (XAI) emphasize the need to ensure that selected features provide understandable information about emotional and stress states, which strengthens trust and adoption by...

Joining LINEACT at CESI for a research internship would be a fantastic opportunity to contribute to innovative projects while deepening my skills in a cutting-edge environment focused on digital transformation and Industry 4.0. Works This M2 internship is part of ongoing research on improving camera calibration techniques, focusing on optimizing datasets for intrinsic and extrinsic calibration in robotic manipulation contexts. Accurate camera calibration is essential for achieving precise perception and control in robotics, particularly in scenarios involving cameras mounted on robotic manipulators. Context Camera calibration is a critical step in computer vision applications, enabling accurate transformation between image and real-world coordinates. However, the performance of calibration algorithms can vary significantly depending on the datasets used. Previous studies carried on our laboratory highlight that dataset quality and diversity play a vital role in ensuring robust...