论文标题

具有可变刚度和适应性形态的自我配置的软韧带移动剂

Self-Reconfigurable Soft-Rigid Mobile Agent with Variable Stiffness and Adaptive Morphology

论文作者

Labazanova, Luiza, Peng, Shuang, Qiu, Liuming, Lee, Hoi-Yin, Nanayakkara, Thrishantha, Navarro-Alarcon, David

论文摘要

在本文中,我们提出了一种具有可控刚度和可变形形状的混合移动机器人的新设计。与传统的移动代理相比,我们的系统可以通过在其结构中固化或熔化磁场的金属在刚性和兼容的阶段进行切换,从而通过其活性组件的运动来改变其形状。在柔软的状态下,机器人的主体可以弯曲成圆形弧,使其能够符合周围的弯曲物体。机器人的这种变量几何形状创建了新的运动模式,标准模型无法描述,即固定的几何模型。为此,我们开发了一个统一的数学模型,该模型捕获了刚性和软状态的差异运动学。进一步提出了一种优化的控制策略,以选择达到目标姿势形状配置所需的最合适的相位状态和运动模式。我们的新方法的性能通过在原型系统上进行的数值模拟和实验来验证。仿真源代码可在https://github.com/louashka/2sr-agent-simulation.git} {github存储库中获得。

In this paper, we propose a novel design of a hybrid mobile robot with controllable stiffness and deformable shape. Compared to conventional mobile agents, our system can switch between rigid and compliant phases by solidifying or melting Field's metal in its structure and, thus, alter its shape through the motion of its active components. In the soft state, the robot's main body can bend into circular arcs, which enables it to conform to surrounding curved objects. This variable geometry of the robot creates new motion modes which cannot be described by standard (i.e., fixed geometry) models. To this end, we develop a unified mathematical model that captures the differential kinematics of both rigid and soft states. An optimised control strategy is further proposed to select the most appropriate phase states and motion modes needed to reach a target pose-shape configuration. The performance of our new method is validated with numerical simulations and experiments conducted on a prototype system. The simulation source code is available at https://github.com/Louashka/2sr-agent-simulation.git}{GitHub repository.

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