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teaching:mfe:ia [2019/05/07 11:56] bersini |
teaching:mfe:ia [2020/02/26 16:44] mdorigo [A WebGL Visualization for a Swarm Robotics Simulator] |
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| - | ===== A WebGL Visualization for a Swarm Robotics Simulator ===== | ||
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| - | ARGoS is a multi-robot simulator that has been designed to simulate swarms of 1000s of robots in real time. The simulator is modular and allows developers to easy add new plugins such as physics engines, visualizations, and new sensors and actuators. The goal of this master’s thesis is to develop a WebGL-based visualization for the ARGoS simulator. This interface will allow a user to monitor and to interact with the simulation from a web browser. | ||
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| - | Required skills: The candidates should have some experience with programming in C++ and Javascript and to have some experience with HTML5 and CSS. A working knowledge of the English language is required. | ||
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| - | * Contact: Marco Dorigo | ||
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| * [[http://iridia.ulb.ac.be/~stuetzle|Thomas Stützle (IRIDIA)]] | * [[http://iridia.ulb.ac.be/~stuetzle|Thomas Stützle (IRIDIA)]] | ||
| * [[https://www.ee-ip.org/|Jürgen Ritzek (EE-IP)]] | * [[https://www.ee-ip.org/|Jürgen Ritzek (EE-IP)]] | ||
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| - | ===== Software framework for ant colony optimization ===== | ||
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| - | Ants have inspired a number of computational techniques and among the most successful is ant colony optimization (ACO). ACO is an optimization technique that can be applied to tackle a wide variety of computational problems that arise in computer science, telecommunications, and engineering. While ACO has a very wide applicability, the development times for effective ACO algorithms can be relatively high. This is due to the fact that each time a new problem is to be tackled by an ACO algorithm, a researcher needs to implement the algorithms almost from scratch. | ||
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| - | The goal of the project is to provide a software framework to support the application and the implementation of ACO algorithms to new problems. The software framework will offer all the standard procedures that are used in ACO algorithms and will allow for the rapid prototyping of ACO algorithms. | ||
| - | The application of this software framework will be tested on a number of optimization problems. | ||
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| - | Required skills: The candidate should be well acquainted with programming in object oriented languages. | ||
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| - | * Contacts : | ||
| - | * [[http://iridia.ulb.ac.be/~mdorigo|Marco Dorigo (IRIDIA)]] | ||
| - | * [[http://iridia.ulb.ac.be/~stuetzle|Thomas Stützle (IRIDIA)]] | ||