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In contrast with [19], the experiments used in this paper include the use of real robots and make it possible to verify the robustness of the method in noisy environments.
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Using two-part polyurethane foam is expected to be beneficial in the implementation of real robots, since the material solidifies completely in a few seconds.
Furthermore, proof-of-concept experiments were successfully undertaken using e-puck mobile robots, which demonstrate that the proposed model works well with physical constraints of real robots.
One limitation of this study is simulations instead of real robots but the experiments in the physical environments are complex and difficult to scale for large scale arenas using real robots; secondly such experiments are not possible with limited finance.
This paper is concerned with different aspects of the use of evolution for the successful generation of real robot Artificial Neural Network (ANN) controllers.
It has been successfully tested using 8 real robots and in simulation with up to 40 robots, demonstrating experimentally its scalability with an increasing number of robots.
Dr. Balch plans to reproduce his experiments using the real robots, work that he says will bring his findings closer to the realm of social reality.
Although all efforts were made to reduce the effects of using a real robot on the perceptual experiments, we outline them here as precautions for future experiments.
The results were obtained using real robots in two different situations.
From the results of these tests, we determined appropriate coefficients for the characteristic features of each type of foam for use in the real robot experiments.
It consists of an environment in which users can bring a glass and a water bottle closer with only the help of their eye movement using a real robot arm.
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