提出一种基于材料特性的微连续体机器人几何预测新方法。
Geometrically predictable micro fabricated continuum robot
- 通过离散化结构并施加力约束模拟材料特性,建立几何变换模型。
- 可预测外部干扰下的变形,也能反推所需外力序列与方向以实现目标形状。
- 适用于多场驱动的微机器人,理论与实验均验证有效。
相较于传统制造技术的微连续体机器人,微制造技术在智能材料应用、增材制造工艺和物理场控制方面存在差异。然而,现有几何预测模型仍沿用大型机器人的框架,与微制造机器人的真实形变原理不符。本文提出一种通用几何预测方法,基于材料属性和应力点位移,通过离散化微制造连续体结构,并在相邻点间施加力约束以模拟材料行为。公式推导与仿真验证了该方法的可行性与有效性。研究三种由不同外部场力驱动的微连续体机器人,证明其两大优势:可预测外部干扰下的几何变形;可通过预估外力作用序列与方向,实现目标几何形状。此项开创性研究推动了对微制造连续体机器人及其变形机制的理论理解与实际操作能力。
原文摘要 · Abstract (English)
Compared to the micro continuum robots that use traditional manufacturing technology, the micro fabricated continuum robots are different in terms of the application of smart materials, additive manufacturing process, and physical field control. However, the existing geometrical prediction models of the micro continuum robots still follow the model frameworks designed for their larger counterparts, which is inconsistent with the real geometrical transformation principle of micro fabricated continuum robots. In this paper, we present a universal geometrical prediction method for the geometry transformation of the micro fabricated continuum robots based on their material properties and the displacement of the stress points. By discretizing of the micro fabricated continuum structure and applying force constraints between adjacent points to simulate material properties, formulations and simulations are demonstrated to prove the feasibility and effectiveness of the proposed method. Three micro fabricated continuum robots driven through different external field forces are investigated to show two superiorities: the geometrical deformation of a micro fabricated continuum robot under external disturbances can be predicted, and a targeted geometry can be shaped by predicting the sequence and directions of external forces. This pioneer research has contributed to promote understanding and operation of micro fabricated continuum robots and their deformation both from theoretical aspect and real experimental operations.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。