DESCRIPTION :
This project focuses on developing an evolutionary algorithm (MOGA, PSO, etc.) for the optimal deployment of heterogeneous sensors using a multi-robot system. The project focuses on coordinating multiple mobile robots to deploy sensors such as cameras, gas detectors, sound, and temperature sensors in complex environments.
The research aims to optimize several objectives at ones, including:
* Coverage maximization
* Deployment time minimization
* Energy efficiency
* Communication and connectivity constraints
* Redundancy reduction
The developed algorithms will be validated through simulation using tools like vizmap, costmap_2d, ma_pserver, Rviz, OpenStreetMap, NS3 or OMNeT++ for realistic evaluation of coverage and network connectivity. The framework will support intelligent sensor deployment in applications such as surveillance, smoke and early fire detection, environmental monitoring, disaster response, smart infrastructures, and precision agriculture.
Working methodology and Responsibilities:
* Formulate the sensor deployment problem as a multi-objective optimization task, including sensor type, range, coverage, connectivity and energy requirements
* Design and implement multi-objective genetic algorithms (MOGA or other methods) for sensor placement and coordinated multi-robot deployment
* Develop a user interface (UI) for map area selection, paths, and sensor deployment planning (2D)
* Integrate different sensor types (camera, gas, sound, temperature) and model their operational constraints
* Develop the optimization algorithm considering network connectivity and coverage using NS-3/OMNeT++
* 2D map and plane for the deployment strategies
* Document the methodology, implementation, and experimental results, * ROS2 packages,
* Videos of simulation,
* User manual,
* Internship report,
What You Will Learn
* Design and implementation of multi-objective genetic algorithms for multi-robot sensor deployment
* Development of interactive GUIs for deployment planning
* Modeling and simulation of heterogeneous sensors and multi-robot systems
* Evaluation of coverage and connectivity using NS3 or OMNeT++
* Integration Gazebo, and ROS/ROS2 and PX4(if UAVs are used)
* Research methodology, experimental validation, and scientific writing
Code d'emploi : Stagiaire (h/f)
Temps partiel / Temps plein : Plein temps
Type de contrat : Stage/Jeune diplômé
Compétences : C ++ (Langage de Programmation), Ubuntu (Système d'Exploitation), Programmation Informatique, Middleware, Genetic Algorithm, Interaction Homme Machine, Java GUIs, Python (Langage de Programmation), Planification des Mouvements, Connexions aux Réseaux, Mobile Robots, Optimization Algorithms, Modelsim, Français, Sens de la Communication, Rédaction Académique, Algorithmes, Système Autonome, Réponse aux Catastrophes, Surveillance de l'Environnement, Système de Sécurité Incendie, Gestion des Infrastructures, Méthodologie de Recherche, Agriculture de Précision, Recherche et Développement, Monitoring à Distance, Conception et Réalisation en Robotique, Simulations, Mode d'Emploi, Robotique Industrielle, Capteurs, Performance Energétique, Gestion des Temps et Activités (GTA)
Courriel :
k.baizid@audensiel.com
Type d'annonceur : Employeur direct