Flash Tamar, Zullo Letizia
Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
Bioinspired Soft Robotics & Center for Synaptic Neuroscience and Technology (NSYN), Istituto Italiano di Tecnologia, Largo Rosanna Benzi 10, 16132 Genova, Italy.
J Exp Biol. 2023 Apr 25;226(Suppl_1). doi: 10.1242/jeb.245295. Epub 2023 Apr 21.
Muscular hydrostats are organs composed entirely of packed arrays of incompressible muscles and lacking any skeletal support. Found in both vertebrates and invertebrates, they are of great interest for comparative biomechanics from engineering and evolutionary perspectives. The arms of cephalopods (e.g. octopus and squid) are particularly interesting muscular hydrostats because of their flexibility and ability to generate complex behaviors exploiting elaborate nervous systems. Several lines of evidence from octopus studies point to the use of both brain and arm-embedded motor control strategies that have evolved to simplify the complexities associated with the control of flexible and hyper-redundant limbs and bodies. Here, we review earlier and more recent experimental studies on octopus arm biomechanics and neural motor control. We review several dynamic models used to predict the kinematic characteristics of several basic motion primitives, noting the shortcomings of the current models in accounting for behavioral observations. We also discuss the significance of impedance (stiffness and viscosity) in controlling the octopus's motor behavior. These factors are considered in light of several new models of muscle biomechanics that could be used in future research to gain a better understanding of motor control in the octopus. There is also a need for updated models that encompass stiffness and viscosity for designing and controlling soft robotic arms. The field of soft robotics has boomed over the past 15 years and would benefit significantly from further progress in biomechanical and motor control studies on octopus and other muscular hydrostats.
肌肉静力学器官完全由紧密排列的不可压缩肌肉组成,且缺乏任何骨骼支撑。在脊椎动物和无脊椎动物中都能找到它们,从工程学和进化的角度来看,它们对于比较生物力学具有极大的研究价值。头足类动物(如章鱼和鱿鱼)的触腕是特别有趣的肌肉静力学器官,因为它们具有灵活性,并且能够利用复杂的神经系统产生复杂行为。来自章鱼研究的几条证据表明,章鱼同时运用了大脑和触腕内的运动控制策略,这些策略的进化是为了简化与控制灵活且高度冗余的肢体和身体相关的复杂性。在这里,我们回顾了早期和近期关于章鱼触腕生物力学和神经运动控制的实验研究。我们回顾了几个用于预测几种基本运动原语运动学特征的动态模型,并指出了当前模型在解释行为观察结果方面的不足之处。我们还讨论了阻抗(刚度和粘性)在控制章鱼运动行为中的重要性。鉴于几种新的肌肉生物力学模型,我们考虑了这些因素,这些模型可用于未来的研究,以更好地理解章鱼的运动控制。此外,还需要更新的模型来涵盖刚度和粘性,以设计和控制软机器人手臂。在过去的15年里,软机器人领域蓬勃发展,章鱼和其他肌肉静力学器官的生物力学和运动控制研究取得进一步进展将使其受益匪浅。