Hockings Nick, Howard David
Robotics and Autonomous Systems Group, Cyber-Physical Systems, Data61, Commonwealth Scientific and Industrial Research Organization (CSIRO), Pullenvale, QLD, Australia.
Front Bioeng Biotechnol. 2020 Jun 19;8:621. doi: 10.3389/fbioe.2020.00621. eCollection 2020.
We present some currently unused morphogenetic mechanisms from evolutionary biology and guidelines for transfer to evolutionary robotics. (1) DNA patterns providing mutation of mutability, lead to canalization of evolvable bauplans, via kin selection. (2) Morphogenetic mechanisms (i) Epigenetic cell lines provide functional cell types, and identification of cell descent. (ii) Local anatomical coordinates based on diffusion of morphogens, facilitate evolvable genetic parameterizations of complex phenotypes (iii) Remodeling in response to mechanical forces facilitates robust production of well-integrated phenotypes of greater complexity than the genome. An approach is proposed for the tractable application of mutation-of-mutability and morphogenetic mechanisms in evolutionary robotics. The purpose of these methods, is to facilitate production of robot mechanisms of the subtlety, efficiency, and efficacy of the musculoskeletal and dermal systems of animals.
我们展示了一些目前在进化生物学中未被使用的形态发生机制,以及转移到进化机器人学的指导方针。(1)提供可变性突变的DNA模式,通过亲缘选择导致可进化的bauplans的渠道化。(2)形态发生机制:(i)表观遗传细胞系提供功能细胞类型,并识别细胞谱系。(ii)基于形态发生素扩散的局部解剖坐标,促进复杂表型的可进化遗传参数化。(iii)对机械力的响应进行重塑,有助于稳健地产生比基因组更复杂的、整合良好的表型。提出了一种在进化机器人学中易于应用可变性突变和形态发生机制的方法。这些方法的目的是促进制造出具有动物肌肉骨骼和皮肤系统的精细度、效率和功效的机器人机制。