Literature DB >> 15811222

New robotics: design principles for intelligent systems.

Rolf Pfeifer1, Fumiya Iida, Josh Bongard.   

Abstract

New robotics is an approach to robotics that, in contrast to traditional robotics, employs ideas and principles from biology. While in the traditional approach there are generally accepted methods (e. g., from control theory), designing agents in the new robotics approach is still largely considered an art. In recent years, we have been developing a set of heuristics, or design principles, that on the one hand capture theoretical insights about intelligent (adaptive) behavior, and on the other provide guidance in actually designing and building systems. In this article we provide an overview of all the principles but focus on the principles of ecological balance, which concerns the relation between environment, morphology, materials, and control, and sensory-motor coordination, which concerns self-generated sensory stimulation as the agent interacts with the environment and which is a key to the development of high-level intelligence. As we argue, artificial evolution together with morphogenesis is not only "nice to have" but is in fact a necessary tool for designing embodied agents.

Mesh:

Year:  2005        PMID: 15811222     DOI: 10.1162/1064546053279017

Source DB:  PubMed          Journal:  Artif Life        ISSN: 1064-5462            Impact factor:   0.667


  6 in total

1.  An investigation on the olfactory capabilities of domestic dogs (Canis lupus familiaris).

Authors:  Elodie Ferrando; Christoph D Dahl
Journal:  Anim Cogn       Date:  2022-06-11       Impact factor: 3.084

2.  Information processing capacity of dynamical systems.

Authors:  Joni Dambre; David Verstraeten; Benjamin Schrauwen; Serge Massar
Journal:  Sci Rep       Date:  2012-07-19       Impact factor: 4.379

3.  Hedonic quality or reward? A study of basic pleasure in homeostasis and decision making of a motivated autonomous robot.

Authors:  Matthew Lewis; Lola Cañamero
Journal:  Adapt Behav       Date:  2016-10-12       Impact factor: 1.942

4.  Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop.

Authors:  Martin Biehl; Christian Guckelsberger; Christoph Salge; Simón C Smith; Daniel Polani
Journal:  Front Neurorobot       Date:  2018-08-30       Impact factor: 2.650

5.  Artificial fast-adapting mechanoreceptor based on carbon nanotube percolating network.

Authors:  Cyril Bounakoff; Vincent Hayward; Jonathan Genest; François Michaud; Jacques Beauvais
Journal:  Sci Rep       Date:  2022-03-09       Impact factor: 4.379

6.  Embodied Computational Evolution: Feedback Between Development and Evolution in Simulated Biorobots.

Authors:  Joshua Hawthorne-Madell; Eric Aaron; Ken Livingston; John H Long
Journal:  Front Robot AI       Date:  2021-06-10
  6 in total

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