(Enter summary)
Abstract: From perception to action and from action to perception, all elements of an autonomous
agent are interdependent and need to be strongly coherent. The final behavior of the agent
is the result of the global activity of this loop and every weakeness or incoherence of a
single element has strong consequences on the performances of the agent. We think that,
for the purpose of building autonomous robots, all these elements need to be developed
together in continuous interaction with the environment. ... (Update)
Context of citations to this paper: More
.... 367, 393] Robotersysteme, 399] Robotica, 132, 307, 323] Robotica (UK) 245] Robotics and Autonomous Systems, [124, 139, 144, 169, 216, 231, 247, 274, 279] Telematics and Informatics, 74] Teleoperators and virtual environments, 255] Trans. Inst. Electr. Eng. Jpn. C (Japan)...
.... as in systems that employ reinforcement learning, genetic algorithms, or neural networks to supervise control (Kaelbling 1993, Mondada Floreano 1995, Whitehead 1992, Koza 1991, Sims 1994, Harvey 1995) Vertebrate brains have specialization both by organs and regions within...
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BibTeX entry: (Update)
F. Mondada and D. Floreano. Evolution of neural control structures: some experiments on mobile robots. Robotics and Autonomous Systems, 16:183--195, 1995. http://citeseer.ist.psu.edu/article/mondada95evolution.html More
@inproceedings{ mondada95evolution,
author = "Francesco Mondada and Dario Floreano",
title = "Evolution and Mobile Autonomous Robotics",
booktitle = "Towards Evolvable Hardware",
pages = "221-249",
year = "1995",
url = "citeseer.ist.psu.edu/article/mondada95evolution.html" }
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