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teaching:mfe:ia [2011/03/23 16:07] mdorigo [Self-organized task allocation in swarm robotics] |
teaching:mfe:ia [2011/03/23 16:51] mdorigo 1 project added |
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| - | + | ===== Automatic fitness function definition in evolutionary robotics ===== | |
| + | Evolutionary robotics is a fascinating approach to the design of robot controllers that takes inspiration from natural evolution. | ||
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| + | In order to obtain a robot that is able to perform a desired task, the evolutionary robotics approach considers a population of robots that evolves in time. Each robot is characterized by a genotype that defines somehow its behavior. Each robot is evaluated according to a fitness function that measures the ability of the robot to perform the desired task. Robots with a low fitness are eliminated. Robots with a high fitness remain in the population and generate offsprings -- e.g., robots with a similar genotype obtained via mutation and/or cross-over. Through this process, generation by generation, the evolutionary robotics approach is able to obtain robots that present higher and higher fitness and that are therefore able to perform the desired task more and more effectively. | ||
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| + | One of the main open problems in evolutionary robotics is that the definition of an appropriate fitness function is a very complex, labor-intensive, and time-consuming activity that requires the attention of an expert researcher. | ||
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| + | The goal of this master thesis is to devise an automatic method to define a fitness function in order to obtain a robot that is able to perform a desired task. This automatic method will be based on machine learning and metaheuristic algorithms. In particular, it will draw ideas from the fields of reinforcement learning and of on-line adaptation of parameters in optimization algorithms. | ||
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| + | Required skills: The candidates should be acquainted with C/C++ programming and have a working knowledge of the English language. | ||
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| + | * Contact: [[http://iridia.ulb.ac.be/~mbiro|Mauro Birattari]], Marco Dorigo, Vito Trianni (IRIDIA) | ||
| ===== Simulation et optimisation de trafic routier ===== | ===== Simulation et optimisation de trafic routier ===== | ||