RI: Small: Collaborative Research: Micro-Assembly Exploiting SofT RObotics (MAESTRO)

Maestro项目将开发一种新型的制造技术，将软机器人技术和群体控制相结合，从水凝胶组成的单个人工细胞构建2D和3D组件。Maestro将设计建造微型工厂的规则，这样就像指挥棒一样，全局控制信号将人造细胞组织成复杂的配置。这些人造细胞可以含有活细胞，可以组装成人造器官的组织，也可以含有无机颗粒组装成微型工具。Maestro将在由多糖基水凝胶构建的人造细胞中运送所需的成分。目前的方法使用工程结构或活细菌作为微型致动器来推动或拉动所需的物体就位。所提出的方法使用软机器人本身作为所需图案的构建块。人造细胞擅长包裹范围广泛的微米和纳米粒子，例如活细胞和磁性纳米粒子。此外，人工细胞可以被触发，以有效地释放其有效载荷。使用基于障碍物的粒子计算的新型群体控制算法将引导细胞。在传统的机器人学中，多个机器人的同时控制是基于单个机器人的运动控制，这需要机器人之间的异构性或传递多个输入信号的能力；这两种方法目前在小规模系统中都是不实用的。然而，这些挑战可以通过在充满障碍的工作空间中进行并行运动规划来克服。这种基于障碍物的位置控制使微型机器人的位置完全可控，只需一个控制输入。这些刺激响应型人工细胞在微流控、障碍重重的环境中工作，代表了制造技术的范式转变。

The MAESTRO project will develop a new type of manufacturing by combining soft robotics and swarm control to construct assemblies in 2D and 3D from individual artificial cells made of hydrogels. MAESTRO will design rules for building tiny factories so that, like a conductor's baton, global control signals will organize artificial cells into complex configurations. These artificial cells can contain living cells and be assembled into tissue for artificial organs, or contain inorganic particles to assemble into micro-scale tools. MAESTRO will ferry desired components in artificial cells constructed from polysaccharide-based hydrogels. Current approaches use engineered structures or live bacteria as micro-scale actuators to push or pull desired objects into place. The proposed approach uses the soft robots themselves as building blocks for desired patterns. The artificial cells excel at encapsulating a wide range of micro and nano-sized particles, for example living cells and magnetic nano-particles. Furthermore, artificial cells can be triggered to efficiently release their payloads. Novel swarm control algorithms using obstacle-based particle computation will steer the cells. In traditional robotics, simultaneous control of multiple robots is based on individual motion control that requires heterogeneity among robots or the ability to deliver multiple input signals; both approaches are currently impractical in small-scale systems. However, these challenges can be overcome by parallel motion planning in obstacle-filled workspaces. This obstacle-based positional control makes the position of micro-robots fully controllable using just a single control input. Actuation of these stimuli-responsive artificial cells in micro-fluidic, obstacle-laden environments presents a paradigm shift in fabrication technology.