Automatic creation of an autonomous agent: genetic evolution of a neural-network driven robot
Dario Floreano,Francesco Mondada +1 more
- pp 421-430
TLDR
The paper describes the results of the evolutionary development of a real, neural-network driven mobile robot, and shows a number of emergent phenomena that are characteristic of autonomous agents.Abstract:
The paper describes the results of the evolutionary development of a real, neural-network driven mobile robot. The evolutionary approach to the development of neural controllers for autonomous agents has been successfully used by many researchers, but most - if not all - studies have been carried out with computer simulations. Instead, in this research the whole evolutionary process takes places entirely on a real robot without human intervention. Although the experiments described here tackle a simple task of navigation and obstacle avoidance, we show a number of emergent phenomena that are characteristic of autonomous agents. The neural controllers of the evolved best individuals display a full exploitation of non-linear and recurrent connections that make them more efficient than analogous man-designed agents. In order to fully understand and describe the robot behavior, we have also employed quantitative ethological tools [13], and showed that the adaptation dynamics conform to predictions made for animals.read more
Citations
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Book ChapterDOI
Towards an autonomous evolution of non-biological physical organisms
Roderich Groß,Stéphane Magnenat,Lorenz Küchler,Vasili Massaras,Michael Bonani,Francesco Mondada +5 more
TL;DR: The results suggest that an autonomous evolution of non-biological organisms can be realized in human-designed environments and, potentially, in natural environments as well.
Book ChapterDOI
Off-Line Model-Free and On-Line Model-Based Evolution for Tracking Navigation Using Evolvable Hardware
TL;DR: The results show that a dynamic Boolean function approach is sufficient to produce this navigation behavior and it is demonstrated that a model-based evolution method can reduce the interactions with the real world by a factor of 250, thus allowing for an adaptive tracking-avoiding system.
Proceedings ArticleDOI
Active perception, navigation, homing, and grasping: an autonomous perspective
Dario Floreano,Francesco Mondada +1 more
TL;DR: The results show that active perception is a useful feature that is exploited by autonomous agents and that the combination of genetic algorithms and neural networks is a feasible and fruitful technique for the development of active perception in autonomous agents.
Journal ArticleDOI
Defect Depth Determination in Laser Infrared Thermography Based on LSTM-RNN
TL;DR: Results show that background noises in the original thermal signals can be effectively reduced by the TSR method, which is helpful for the models to learn the signal characteristics.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Book
Adaptation in natural and artificial systems
TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
Intelligence without Representation
TL;DR: Brooks et al. as mentioned in this paper decompose an intelligent system into independent and parallel activity producers which all interface directly to the world through perception and action, rather than interface to each other particularly much.
Journal ArticleDOI
Intelligence without representation
TL;DR: Brooks et al. as discussed by the authors decompose an intelligent system into independent and parallel activity producers which all interface directly to the world through perception and action, rather than interface to each other particularly much.