Yang Nan, Qian Zheng, Wei Huaxian, Zhang Yubo
Intelligent Manufacturing Key Laboratory of the Ministry of Education, College of Engineering, Shantou University, Shantou 515063, China.
Research (Wash D C). 2023;6:0085. doi: 10.34133/research.0085. Epub 2023 Mar 30.
Integrating mechanical computing functions into robotic materials, microelectromechanical systems, or soft robotics can improve their intelligence in stimulation-response processes. Current mechanical computing systems exhibit limitations, including incomplete functions, unchangeable computing rules, difficulties in realizing random logic, and lack of reusability. To overcome these limitations, we propose a straightforward method of designing mechanical computing systems-based on the logic expressions-for complex computations. We designed soft, B-shaped mechanical metamaterial units, and compressed them to render stress inputs; the outputs are represented by the light-shielding effects caused by the unit deformations. We realized logic gates and corresponding combinations (including half/full binary adder/subtractor and addition/subtraction of 2 numbers with multiple bits) and provided a versatile solution for making a mechanical analog-to-digital converter to generate both ordered and disordered numbers. We performed all of the computations within the elastic regions of the B-shaped units; thus, after one computation, the systems can return to the initial states for reuse. The proposed mechanical computers will potentially enable robotic materials, microelectromechanical systems, or soft robotics to perform complex tasks. Furthermore, one can extend this concept to systems that are based on other mechanisms or materials.
将机械计算功能集成到机器人材料、微机电系统或软体机器人中,可以提高它们在刺激-响应过程中的智能水平。当前的机械计算系统存在局限性,包括功能不完整、计算规则不可改变、难以实现随机逻辑以及缺乏可重用性。为了克服这些局限性,我们提出了一种基于逻辑表达式设计机械计算系统的直接方法,用于复杂计算。我们设计了柔软的B形机械超材料单元,并对其进行压缩以提供应力输入;输出由单元变形引起的遮光效应表示。我们实现了逻辑门及其相应组合(包括半/全二进制加法器/减法器以及两个多位数字的加减法),并为制作机械模数转换器以生成有序和无序数字提供了一种通用解决方案。我们在B形单元的弹性区域内执行所有计算;因此,一次计算后,系统可以恢复到初始状态以便重复使用。所提出的机械计算机有望使机器人材料、微机电系统或软体机器人能够执行复杂任务。此外,人们可以将这一概念扩展到基于其他机制或材料的系统。