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Adaptive amoeboid locomotion that exploits law of conservation of protoplasmic mass

机译:自适应作物机制利用原生质质量守恒定律

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This paper intensively discusses how adaptive locomotion under unstructured and dynamically changing environment can be realized from the perspective of long-distance interaction and local interaction dynamics induced in bodies. To this end, we have focused on the most primitive yet flexible locomotion, amoeboid locomotion. Slime mold and amoeba are well known to exhibit remarkably adaptive behaviors, such as avoiding hazardous condition, and approaching nutrients and humidity, by dynamically changing their morphology. These behaviors induced so-called amoeboid movement, which is driven by the flexible epitheca (i.e. outer skin) and the protoplasm despite of the absence of a central nervous system or specialized organs. In light of these facts, we have conducted simulations of an amoeboid robot, particularly focusing on epitheca consisting of 驴real-time tunable springs驴 and 驴law of conservation of protoplasmic mass驴, the former of which is used to deal with 驴local interaction dynamics驴 and the latter of which is used to deal with 驴long-distance interaction驴. Simulation results indicate that the proposed model can induce highly adaptive locomotion according to the situation encountered by dynamically changing its morphology.
机译:本文集中探讨了如何从长距离相互作用和局部相互作用动态的角度实现非结构化和动态变化环境下的自适应运动。为此,我们专注于最原始且灵活的运动,作者:杂交模具和AmoEba是众所周知的,可表现出显着的自适应行为,例如避免危险状态,并通过动态地改变它们的形态来接近营养和湿度。这些行为诱导所谓的作物运动,尽管存在中枢神经系统或专用器官,但是尽管没有中枢神经系统或专用器官,但是仍由柔性上皮(即外皮)和原生质驱动。鉴于这些事实,我们已经进行了作物机器人的模拟,特别是专注于由驴实时调谐弹簧驴和驴守恒的原生质质量驴,该前者用于应对驴局部互动动力学驴和后者用于处理驴长途交互驴。仿真结果表明,所提出的模型可以根据通过动态改变其形态遇到的情况来诱导高度自适应运动。

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