论文标题

利用kresling折纸的多稳定性在软机器人手臂中可重新配置

Harnessing The Multi-Stability Of Kresling Origami For Reconfigurable Articulation In Soft Robotic Arms

论文作者

Kaufmann, Joshua, Li, Suyi

论文摘要

这项研究研究了一种以生物学启发的方法,即使用可重构表达来减少软机器人臂的控制要求。我们通过组装具有可预测双重性的折纸模块来构建机器人臂。通过在其两个稳定状态之间切换,这些折纸模块可以像具有低弯曲刚度的柔性接头一样,或者像刚性高的刚性链接一样,而无需任何连续的电源。这样,机器人臂可以表现出具有较低控制要求和提高运动精度的伪连接运动学。将折纸用作机器人臂骨架的独特优势是,其稳定状态之间的弯曲刚度比与基础的kresling设计直接相关。因此,我们进行了广泛的参数分析和实验验证,以确定发音的优化kresling模式。结果表明,较高的角度比,在收缩稳定状态下的静息长度较小,并且大量多边形侧可以提供更明显且坚固的弯曲刚度调谐。基于这种见解,我们构建了由三个模块组成的概念验证,肌腱驱动的机器人臂,并表明它可以表现出所需的可重构表达行为。此外,该操纵器的变形与运动学模型预测一致,该预测验证了将简单控制器用于此类合规机器系统的可能性。

This study examines a biology-inspired approach of using reconfigurable articulation to reduce the control requirement for soft robotic arms. We construct a robotic arm by assembling Kresling origami modules that exhibit predictable bistability. Via switching between their two stable states, these origami modules can behave either like a flexible joint with low bending stiffness or like a stiff link with high stiffness, without requiring any continuous power supply. In this way, the robotic arm can exhibit pseudo-linkage kinematics with lower control requirements and improved motion accuracy. A unique advantage of using origami as the robotic arm skeleton is that its bending stiffness ratio between stable states is directly related to the underlying Kresling design. Therefore, we conduct extensive parametric analyses and experimental validations to identify the optimized Kresling pattern for articulation. The results indicate that a higher angle ratio, a smaller resting length at contracted stable state, and a large number of polygon sides can offer more significant and robust bending stiffness tuning. Based on this insight, we construct a proof-of-concept, tendon-driven robotic arm consisting of three modules, and show that it can exhibit the desired reconfigurable articulation behavior. Moreover, the deformations of this manipulator are consistent with kinematic model predictions, which validate the possibility of using simple controllers for such compliant robotic systems.

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