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      Neurorobotics—A Thriving Community and a Promising Pathway Toward Intelligent Cognitive Robots

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          Abstract

          Neurorobots are robots whose control has been modeled after some aspect of the brain. Since the brain is so closely coupled to the body and situated in the environment, Neurorobots can be a powerful tool for studying neural function in a holistic fashion. It may also be a means to develop autonomous systems that have some level of biological intelligence. The present article provides my perspective on this field, points out some of the landmark events, and discusses its future potential.

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          Most cited references62

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          Which model to use for cortical spiking neurons?

          We discuss the biological plausibility and computational efficiency of some of the most useful models of spiking and bursting neurons. We compare their applicability to large-scale simulations of cortical neural networks.
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            Intelligence without representation

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              Efficient bipedal robots based on passive-dynamic walkers.

              Passive-dynamic walkers are simple mechanical devices, composed of solid parts connected by joints, that walk stably down a slope. They have no motors or controllers, yet can have remarkably humanlike motions. This suggests that these machines are useful models of human locomotion; however, they cannot walk on level ground. Here we present three robots based on passive-dynamics, with small active power sources substituted for gravity, which can walk on level ground. These robots use less control and less energy than other powered robots, yet walk more naturally, further suggesting the importance of passive-dynamics in human locomotion.
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                Author and article information

                Contributors
                Journal
                Front Neurorobot
                Front Neurorobot
                Front. Neurorobot.
                Frontiers in Neurorobotics
                Frontiers Media S.A.
                1662-5218
                16 July 2018
                2018
                : 12
                : 42
                Affiliations
                [1] 1Department of Cognitive Sciences, University of California Irvine , Irvine, CA, United States
                [2] 2Department of Computer Science, University of California, Irvine , Irvine, CA, United States
                Author notes

                Edited by: Alois C. Knoll, Technische Universität München, Germany

                Reviewed by: Daniele Caligiore, Consiglio Nazionale delle Ricerche (CNR), Italy; Robert J. Lowe, University of Gothenburg, Sweden

                *Correspondence: Jeffrey L. Krichmar jkrichma@ 123456uci.edu
                Article
                10.3389/fnbot.2018.00042
                6054919
                30061820
                335876c8-a69f-4c59-acd5-0d514591fd03
                Copyright © 2018 Krichmar.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 29 January 2018
                : 25 June 2018
                Page count
                Figures: 7, Tables: 0, Equations: 0, References: 81, Pages: 11, Words: 7915
                Funding
                Funded by: Intel Corporation 10.13039/100002418
                Categories
                Neuroscience
                Perspective

                Robotics
                brain-based devices,evolutionary robotics,embodied cognition,cognitive robotics,neural darwinism,neuromorphic engineering

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