Machines' "many little lives" *: An experimental robotic platform to investigate the fundamental and necessary ingredients for life-like artificial sy

机器的“许多小生命”*：一个实验性机器人平台，用于研究类似生命的人造系统的基本和必要成分

• 批准号: 2593535
• 金额: --
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2593535
• 关键词: Machines; many; little; lives; experimental

This project aims to build a soft, three-level artificial platform to systematically test life-like properties like equilibrium, emergence, robustness, and learning. The objectives are listed below and detailed in later sections: 1. Build tensegrity modules with multiple equilibria that will (passively) sense and react to a simple environment2. Implement CPG-like oscillators for modules, capable to sense sensory information across the network and perform short-range communication with adjacent modules to achieve locomotion 3. Connect levels 1 and 2 with artificial neural long-distance connections stimulating the lower levels and investigate whether the system can be trained to express simple forms of learning (e.g., habituation)4. Successful learning would enable us to address how information moves across scales in a system and offer opportunities to investigate the possibility of (i) "artificial chimaeras", i.e., merging two tensegrity modules trained to reach different equilibrium points and observe what the result is, and/or (ii) "robot cancer", that is, how a single module breaking communication with others (as suggested by [16]) will affect the network.

该项目旨在建立一个软的三级人工平台，系统地测试平衡，涌现，鲁棒性和学习等类似生命的属性。目标如下所列，并在后面的章节中详细说明：1.构建具有多重平衡的张拉整体模块，这些模块将（被动地）感知并对简单的环境做出反应2。为模块实现类似CPG的振荡器，能够通过网络感知感官信息，并与相邻模块进行短距离通信，以实现运动3。将1级和2级与刺激较低级别的人工神经长距离连接连接起来，并研究系统是否可以被训练来表达简单的学习形式（例如，习惯化）4.成功的学习将使我们能够解决信息如何在系统中跨尺度移动，并提供机会来研究（i）“人工嵌合体”，即，合并两个经过训练的张拉整体模块，以达到不同的平衡点，并观察结果是什么，和/或（ii）“机器人癌症”，即单个模块与其他模块的通信中断（如[16]所建议的）将如何影响网络。