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--- teaching:mfe:ia [2013/04/03 11:06]
stuetzle
+++ teaching:mfe:ia [2015/03/26 14:25]
bersini [Etude et réalisation orientée objet d'une cellule minimale]
@@ Line 16: / Line 16: @@
 ===== Contribution à l'amélioration de la plateforme génomique In Silico DB =====
-Une nouvelle spin-off a vu le jour depuis un an à IRIDIA: In Silico DB (https://insilicodb.org/) mettant à disposition sous une forme aisément exploitable des centaines de milliers d'échantillons de données génomiques permettant un meilleur diagnostic des maladies d'origine génétique et une meilleure compréhension de la biologie moléculaire. L'équipe qui s'en occupe a un besoin pressant de développeurs informatiques permettant d'en améliorer l'interface. Des connaissances en programmation Web sont souhaitées.
+Une nouvelle spin-off a vu le jour depuis un an à IRIDIA: In Silico DB (https://insilicodb.org/) mettant à disposition sous une forme aisément exploitable des centaines de milliers d'échantillons de données génomiques permettant un meilleur diagnostic des maladies d'origine génétique et une meilleure compréhension de la biologie moléculaire. L'équipe qui s'en occupe a un besoin pressant de développeurs informatiques permettant d'en améliorer l'interface. Des connaissances en programmation Web sont souhaitées. La migration du système de stockage sur un serveur Big Data est aussi un des objectifs actuellement poursuivis par l'équipe en place et permettra au mémorant de se familiariser avec ces nouvelles technologies.
   * Contact : [[http://code.ulb.ac.be/iridia.people.php?id=1|Hugues Bersini (IRIDIA)]]
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 élémentaire et sa membrane. L'idée est de réaliser le logiciel minimal capable de simuler un organisme vivant. Cette cellule devra être capable
 de croître et de spontanément se dupliquer. Il fera suite
-à une succession de MFE déjà réalisés ces dernières années.
+à une succession de MFE déjà réalisés ces dernières années. Parmi les amélirations possibles sont en cours la parallélisation du programme suivant une technologie Big Data ou le recours aux processeurs GPU.
@@ Line 286: / Line 286: @@
   * Contacts : [[http://iridia.ulb.ac.be/~mbiro|Mauro Birattari]] and Manuele Brambilla (IRIDIA)
+===== ROBO-POINTER -- A New Device for Human-Robot Interaction =====
+In this project, the student will design and implement a novel human-robots interaction system.
+The human uses a special laser pointer (called robo-pointer), and by simply pointing to a specific robot he can select it, check its status on a dedicated monitor and send to the robot instructions.
+Now, our arena is equipped with a multi-camera tracking system that allows to detect the 3D position of the robots.
+The student will design a radio sensor network to detect the 3D position of the robo-pointer.
+The two pieces of information will be combined to trigger the selection of the pointed robot.
+* Contacts : [[http://iridia.ulb.ac.be/~mbiro|Mauro Birattari]] and Andreagiovanni Reina (IRIDIA)
+===== Let a robot swarm get around home! =====
+Robot swarms have very limited knowledge of their environment and therefore, moving around a complex environment (i.e., room with obstacles, building, ...) is a complex task. The idea of this project is to allow an overhead multi-camera tracking system -- that has a complete vision and knowledge of the environment -- to interact with a robot swarm in order to help the swarm move to a specific goal in the environment (for instance, moving from the kitchen to a bedroom of a house).
+The multi-camera tracking system's software is already developed. The student will be supposed to (i) develop a GUI that allows a human operator to specify a goal in the environment, (ii) design and implement a communication protocol (between the tracking system and the robot swarm) that guarantees efficiency and scalability and finally, (iii) test the interaction system in a simulated environment.
+* Contacts : [[http://iridia.ulb.ac.be/~mbiro|Mauro Birattari]], Gaëtan Podevijn, and Andreagiovanni Reina (IRIDIA)
+===== Collective Decision Making with Heterogeneous Agents =====
+Swarm robotics is an interesting approach to the coordination of hundreds of robots as it promotes the realization of systems which are scalable, robust and flexible.
+The master thesis will study how to provide a swarm system with the cognitive capability of collective decision making.
+Each agent has partial knowledge of the available alternatives and of their quality estimate, however the swarm, as a whole, is able to decide for the best option. Recently, numerous works have studied strategies and algorithms to implement this process in distributed systems (often taking inspiration from biology, e.g., bees or cockroaches behaviour). One of the common characteristic of these works is that all the agents of the swarm has the same behaviour. In the Master Thesis project, the student will study how heterogeneity influences the global outcome. We will consider heterogeneity both in the individual behaviour (for instance, robots can estimate diﬀerent option characteristics) and in the interaction network.
+In practice, the student is supposed to (i) model the collective decision making problem
+(ii) design and implement multi-agents simulations, and (iii) analyse and discuss the obtained
+results. Depending on the student skills and preferences, the work can focus more on theoretical
+aspects, thus favouring the modelling and analysis of the problem, or can be more practical,
+thus centring the thesis on the multi-agent implementation part. Possibly, a more practical
+thesis could result (depending on the student skills) in the implementation of a real world
+demonstrator with a swarm of up to 100 robots.
+* Contacts : [[http://iridia.ulb.ac.be/~mdorigo|Marco Dorigo]] and Andreagiovanni Reina (IRIDIA)
+===== Online Framework to Compose Robotic Solutions =====
+The design of swarm robotics systems is a challenging task due to difficulties to predict and model swarm systems.
+The most common approach is a trial-and-error process where the developer tries solutions, tests them in simulation and corrects the code to eventually achieve the desired global outcome.
+The project aims to ease this design process: the developer have access to the code of already solved problems (called code-modules), and he can graphically combine the code-modules through a graphical interface to create his own solution.
+The student is supposed to design this novel online framework that offers two main functionalities: (1) to compose new solutions combining the existing code-models to solve new open problems, and (2) to code new code-modules and submit them to the online system.
+* Contacts : [[http://iridia.ulb.ac.be/~mbiro|Mauro Birattari]], Andreagiovanni Reina, and Gianpiero Francesca (IRIDIA)
@@ Line 375: / Line 426: @@
   * Contact: [[http://iridia.ulb.ac.be/~mbiro|Mauro Birattari]] and Carlo Pinciroli (IRIDIA)
-===== Self-organized visual coverage in a swarm of robots =====
-Systems composed of several inter-connected cameras are already a reality in our everyday lives. The prime application of such systems is video-surveillance, but the possibilities offered by multiple-camera systems can extend to other interesting scenarios, such as environment mapping, 3D shape-reconstruction and object recognition. In all these scenarios, the problem of finding the right
-position of a set of cameras in order to maximize the visual field, or the amount of information available, is not always a simple one. Furthermore, systems consisting of cameras in a fixed position present obvious issues of robustness and flexibility.
-Multi-robots systems can provide an interesting mean to overcome this issues. Robots navigating in the enviroment can change their position as a result of changes in the enviroment or in the overall system's objective. A centralized control solution for these systems is still not a desirable one, as it introduces a single point of failure and it can suffer from performance issues.
-The Swarm Robotics paradigm offers a valid approach to the design of a multiple camera system. In this project, we want to study the possibility to develop a control strategy that enables a swarm of robots to position themselves into an unknown environment, maximizing the area covered by their visual fields, while relying only on their image processing system and on local communication.
-Required skills: The candidate should be acquainted with C/C++ programming and have a
-working knowledge of the English language.
-  * Contact: [[http://iridia.ulb.ac.be/~mbiro|Mauro Birattari]] and Alessandro Stranieri (IRIDIA)
 ===== Automatic fitness function definition in evolutionary robotics =====
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-===== Simulation et optimisation de trafic routier =====
+===== Localisation and tracking of components in self-assembling systems =====
-Mentis, spin-off du laboratoire IRIDIA, est une société de consultance
+The goal of this project is to apply computer vision techniques to track the growth of structures in self-assembling systems. The ability to track the growth of structures will shed light on the dynamics of self-assembly; an aspect of self-assembly that has not been well researched in the macroscopic context.
-spécialisée en Data Mining et en Text Mining.  Mentis cherche
-actuellement des mémorants pour lancer diverses études d’optimisation
-dans le domaine de la simulation de trafic routier.
-Dans le cadre d’un projet pour un de ses clients, Mentis travaille
+As part of the project, the student will have to: (a) find suitable hardware (combination of camera, lens, lighting, etc.), (b) localise multiple components in an environment, (c) track the components in the environment, and (d) track the assembly of components in the environment.
-actuellement dans le domaine de la simulation de trafic routier.
-L’objectif du mémoire proposé consiste à lancer plusieurs études
-d’optimisation pour évaluer l’impact de différentes politiques
-routières sur le trafic.  Il sera demandé à l’étudiant de mettre en
-œuvre diverses techniques d’optimisation afin de déterminer les
-politiques routières optimales. Une grande partie du mémoire sera
-faite dans les bureaux de Mentis ainsi qu’en interaction directe avec
-le client.
+Required skills: the candidates should be able to program in C++ and have a working knowledge of the English language.
-  * Contacts:
+ * Contacts : [[http://iridia.ulb.ac.be/~mdorigo/HomePageDorigo/ | Marco Dorigo]] and Dhananjay Ipparthi (IRIDIA)
-    * [[psener@mentis-consulting.be|Pierre Sener (Mentis)]]
-    * [[http://code.ulb.ac.be/iridia.people.php?id=1|Hugues Bersini (IRIDIA)]]
-    * [[http://iridia.ulb.ac.be/~stuetzle/|Thomas Stützle (IRIDIA)]]
@@ Line 515: / Line 541: @@
     * [[http://code.ulb.ac.be/iridia.people.php?id=1|Hugues Bersini (IRIDIA)]]
-===== Comparison of fast heuristics for the longest common subsequence problem =====
-The [[http://en.wikipedia.org/wiki/Longest_common_subsequence|longest common subsequence (LCS) problem]] has important applications in Computational Biology. Several heuristic methods have been proposed to obtain approximate solutions. These methods require different computation time and obtain solutions of varied quality. In this project, the student will learn several methods that have been proposed in the literature to tackle a difficult optimization problem, and compare them in terms of computation time and quality of the resulting solutions. The final goal is to propose appropriate combinations of existing methods that solve diverse instances of the LCS problem.
-  * Contacts :
-    * [[http://iridia.ulb.ac.be/~manuel|Manuel López-Ibáñez (IRIDIA)]]
-    * [[http://iridia.ulb.ac.be/~stuetzle|Thomas Stützle (IRIDIA)]]