N. Jakobi. The Minimal Simulation Approach to Evolutionary Robotics. In T. Gomi, editor, Proceedings of ER'98, Kanata, 1998. AAI Books. Home/Search Document Details and Download
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Robot Soccer with LEGO Mindstorms - Henrik Hautop Lund (1999) (8 citations) (Correct)
....to take into account. For instance, the actuators will produce friction and there will be a whole range of noise issues that makes it very difficult to transfer an idealised model from simulation to the real world. In some cases, it will be possible to transfer models from simulation to reality [8, 6, 2]. This is done by very careful building of a simulator that models the important characteristics of the real device and the way that real world noise interferes with this device. In our emergent behaviour model, we work directly in the real world, so we avoid the problems of difficulties in ....
N. Jakobi. The Minimal Simulation Approach to Evolutionary Robotics. In T. Gomi, editor, Proceedings of ER'98, Kanata, 1998. AAI Books.
Physics-Based Simulation Engines for Artificial Life Simulations - Müller (2000) (Correct)
....the real world behavior of its sensors and motors. In such a highly specialized simulator they managed to evolve control systems that exhibited after being downloaded to a real robot very similar behavior in the real world as in the simulation. Based on these results Nick Jakobi postulates [4] a method called minimal simulation. A minimal simulation divides the environment into a base set and the rest. The base set contains all the features that are necessary for the target behavior but only those. In one of his examples these are walls, if one wants to build a wall following robot. ....
Nick Jakobi (1998). "The Minimal Simulation Approach to Evolutionary Robotics". In Gomi, T., Editor, Evolutionary Robotics - From Intelligent Robots to Artificial Life (ER'98). AAI Books, Ontario, Canada.
Robot Soccer with LEGO Mindstorms - Lund, Pagliarini (1999) (8 citations) (Correct)
....have to take into account. For instance, the actuators will produce friction and there will be a whole range of noise issues that makes it very di cult to transfer an idealised model from simulation to the real world. In some cases, it will be possible to transfer models from simulation to reality [8, 6, 2]. This is done by very careful building of a simulator that models the important characteristics of the real device and the way that real world noise interferes with this device. In our emergent behaviour model, we work directly in the real world, so we avoid the problems of di culties in transfer ....
N. Jakobi. The Minimal Simulation Approach to Evolutionary Robotics. In T. Gomi, editor, Proceedings of ER'98, Kanata, 1998. AAI Books.
Ola: What Goes Up, Must Fall Down - Lund, Arendt, Fredslund, Pagliarini (1999) (Correct)
....will produce friction and there will be a whole range of noise issues that makes it very difficult to transfer an idealised model from simulation to the real world. In some cases, it will be possible to transfer models from simulation to reality [Miglino et al. 1995; Lund and Miglino, 1996; Jakobi, 1998] This is done by very careful building of a simulator that models the important characteristics of the real device and the way that real world noise interferes with this device. In our emergent behaviour model, we work directly in the real world, so we avoid the problems of difficulties in ....
N. Jakobi. The Minimal Simulation Approach to Evolutionary Robotics. In T. Gomi (ed.) Proceedings of ER'98, AAI Books, Kanata, 1998.
A Consideration of the Biological and Psychological.. - Sharkey, Ziemke (1998) (2 citations) (Correct)
....this is possible at all, the costs in development time and hardware resources are high. Much more research is dedicated to evolving controllers, at least partly, in simulation for later use in either simulated robots or real robots, e.g. Nolfi, 1997, Husbands et al. 1998, Urzelai et al. 1998, Jakobi, 1998] but see also [Floreano and Mondada, 1994] for the first example of an evolutionary process entirely carried out on a physical robot) Individual solutions, e.g. the connection weights in an ANN robot controller, are represented by the computer equivalent of gene strings, and they are reproduced ....
Jakobi, N. (1998). The minimal simulation approach to evolutionary robotics. In Gomi, T., editor, Evolutionary Robotics - From Intelligent Robots to Artificial Life (ER'98). AAI Books, Ontario, Canada.
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