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      A general model of locomotion of brittle stars with a variable number of arms

      1 , 2 , 3 , 1 , 4
      Journal of The Royal Society Interface
      The Royal Society

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          Abstract

          Typical brittle stars have five radially symmetrical arms that coordinate to move the body in a certain direction. However, some species have a variable number of arms, which is a unique trait since intact animals normally have a fixed number of limbs. How does a single species manage different numbers of appendages for adaptive locomotion? We herein describe locomotion in Ophiactis brachyaspis with four, five, six and seven arms to propose a common rule for the movement of brittle stars with different numbers of arms. For this, we mechanically stimulated one arm of individuals to analyse escape direction and arm movement. By gathering quantitative indices and employing Bayesian statistical modelling, we noted a pattern: regardless of the total number of arms, an anterior position emerges at one of the second neighbouring arms to a mechanically stimulated arm, while arms adjacent to the anterior one synchronously work as left and right rowers. We propose a model in which an afferent signal runs clockwise or anticlockwise along the nerve ring while linearly counting how many arms it passes through. With this model, the question on how ‘left and right’ emerges in a radially symmetrical body via a decentralized system is answered.

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          THE EARLY RADIATION AND PHYLOGENY OF ECHINODERMS

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            Is Open Access

            A Quadruped Robot Exhibiting Spontaneous Gait Transitions from Walking to Trotting to Galloping

            The manner in which quadrupeds change their locomotive patterns—walking, trotting, and galloping—with changing speed is poorly understood. In this paper, we provide evidence for interlimb coordination during gait transitions using a quadruped robot for which coordination between the legs can be self-organized through a simple “central pattern generator” (CPG) model. We demonstrate spontaneous gait transitions between energy-efficient patterns by changing only the parameter related to speed. Interlimb coordination was achieved with the use of local load sensing only without any preprogrammed patterns. Our model exploits physical communication through the body, suggesting that knowledge of physical communication is required to understand the leg coordination mechanism in legged animals and to establish design principles for legged robots that can reproduce flexible and efficient locomotion.
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              Simple robot suggests physical interlimb communication is essential for quadruped walking.

              Quadrupeds have versatile gait patterns, depending on the locomotion speed, environmental conditions and animal species. These locomotor patterns are generated via the coordination between limbs and are partly controlled by an intraspinal neural network called the central pattern generator (CPG). Although this forms the basis for current control paradigms of interlimb coordination, the mechanism responsible for interlimb coordination remains elusive. By using a minimalistic approach, we have developed a simple-structured quadruped robot, with the help of which we propose an unconventional CPG model that consists of four decoupled oscillators with only local force feedback in each leg. Our robot exhibits good adaptability to changes in weight distribution and walking speed simply by responding to local feedback, and it can mimic the walking patterns of actual quadrupeds. Our proposed CPG-based control method suggests that physical interaction between legs during movements is essential for interlimb coordination in quadruped walking.
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                Author and article information

                Journal
                Journal of The Royal Society Interface
                J. R. Soc. Interface
                The Royal Society
                1742-5689
                1742-5662
                January 08 2020
                January 2020
                January 08 2020
                January 2020
                : 17
                : 162
                : 20190374
                Affiliations
                [1 ]Graduate School of Life Science, Hokkaido University, Sapporo, Hokkaido 060-0812, Japan
                [2 ]The Hakubi Center for Advanced Research, Kyoto University, Yoshida-Konoe, Kyoto 606-8501, Japan
                [3 ]Seto Marine Biological Laboratory, Field Science, Education and Research Center, Kyoto University, Shirahama, Wakayama 649-2211, Japan
                [4 ]Research Center of Mathematics for Social Creativity, Research Institute for Electronic Science, Hokkaido University, Sapporo, Hokkaido 060-0812, Japan
                Article
                10.1098/rsif.2019.0374
                7014800
                31910773
                f44f4004-a9db-4e61-9f4c-31a4f6f037c4
                © 2020

                https://royalsociety.org/-/media/journals/author/Licence-to-Publish-20062019-final.pdf

                https://royalsociety.org/journals/ethics-policies/data-sharing-mining/

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