Literature DB >> 11082225

What does robotics offer animal behaviour?

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Abstract

There is a growing body of robot-based research that makes a serious claim to be a new methodology for biology. Robots can be used as models of specific animal systems to test hypotheses regarding the control of behaviour. At levels from learning algorithms to specific dendritic circuits, implementing a proposed controller in a robotic device tests it against real environments in a way that is difficult to simulate. This often provides insight into the true nature of the problem. It also enforces complete specifications and combines bodies of data. Current work can sometimes be criticized for drawing unjustified conclusions given the limited evaluation and inevitable inaccuracies of robot models. Nevertheless, this approach has led to novel hypotheses for animal behaviour and seems likely to provide fruitful results in the future. Copyright 2000 The Association for the Study of Animal Behaviour.

Entities:  

Year:  2000        PMID: 11082225     DOI: 10.1006/anbe.2000.1514

Source DB:  PubMed          Journal:  Anim Behav        ISSN: 0003-3472            Impact factor:   2.844


  24 in total

Review 1.  Unlocking neural complexity with a robotic key.

Authors:  Peter Stratton; Michael Hasselmo; Michael Milford
Journal:  J Physiol       Date:  2016-03-09       Impact factor: 5.182

Review 2.  Artificial organisms as tools for the development of psychological theory: Tolman's lesson.

Authors:  Orazio Miglino; Onofrio Gigliotta; Maurizio Cardaci; Michela Ponticorvo
Journal:  Cogn Process       Date:  2007-07-31

Review 3.  Path integration, views, search, and matched filters: the contributions of Rüdiger Wehner to the study of orientation and navigation.

Authors:  Ken Cheng; Cody A Freas
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2015-02-07       Impact factor: 1.836

Review 4.  Cognition in insects.

Authors:  Barbara Webb
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-10-05       Impact factor: 6.237

5.  Open-source five degree of freedom motion platform for investigating fish-robot interaction.

Authors:  Brent Utter; Alexander Brown
Journal:  HardwareX       Date:  2020-03-18

6.  Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortex.

Authors:  Samuel A Neymotin; George L Chadderdon; Cliff C Kerr; Joseph T Francis; William W Lytton
Journal:  Neural Comput       Date:  2013-09-18       Impact factor: 2.026

7.  Effectiveness and robustness of robot infotaxis for searching in dilute conditions.

Authors:  Eduardo Martin Moraud; Dominique Martinez
Journal:  Front Neurorobot       Date:  2010-03-03       Impact factor: 2.650

8.  Get out of the corner: Inhibition and the effect of location type and number on perceptron and human reorientation.

Authors:  Brian Dupuis; Michael R W Dawson
Journal:  Learn Behav       Date:  2013-12       Impact factor: 1.986

9.  Towards a real-time interface between a biomimetic model of sensorimotor cortex and a robotic arm.

Authors:  Salvador Dura-Bernal; George L Chadderdon; Samuel A Neymotin; Joseph T Francis; William W Lytton
Journal:  Pattern Recognit Lett       Date:  2014-01-15       Impact factor: 3.756

10.  Posture affects how robots and infants map words to objects.

Authors:  Anthony F Morse; Viridian L Benitez; Tony Belpaeme; Angelo Cangelosi; Linda B Smith
Journal:  PLoS One       Date:  2015-03-18       Impact factor: 3.240

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