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3D Printed Soft Pneumatic Bending Sensing Chambers for Bilateral and Remote Control of Soft Robotic Systems

机译:3D打印的软性气动弯曲感应腔,用于软性机器人系统的双向和远程控制

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This work reports on soft pneumatic bending sensing chambers that are directly 3D printed without requiring any support material and postprocessing using a low-cost and open-source fused deposition modeling (FDM) 3D printer and a commercially available soft thermoplastic polyurethane (TPU). These bending sensing chambers have multiple advantages including very fast response to any change in their internal volume, linearity, negligible hysteresis, repeatability, reliability, stability over time, long lifetime and very low power consumption. The performance of these soft sensing chambers is accurately predicted and optimized using finite element modeling (FEM) and a hyperelastic material model for the TPU used for 3D printing. The soft sensing chambers are tailored to several soft robotic applications such as bending sensors for bilateral control of soft robotic fingers and structures and soft wearable gloves for remote control of soft monolithic robotic fingers and adaptive grippers.
机译:这项工作报告了使用低成本和开放源代码的熔融沉积沉积建模(FDM)3D打印机和可商购的软热塑性聚氨酯(TPU)直接进行3D打印而无需任何支撑材料和后处理的软气动弯曲感应腔。这些弯曲感应腔具有多个优点,包括对内部容积的任何变化都非常快速的响应,线性,可忽略的磁滞,可重复性,可靠性,随时间变化的稳定性,长寿命和非常低的功耗。使用3D打印TPU的有限元建模(FEM)和超弹性材料模型,可以准确预测和优化这些软传感腔室的性能。这些软感应腔适用于多种软机器人应用,例如用于对软机器人手指和结构进行双向控制的弯曲传感器,以及用于对整体机器人手指和自适应抓手进行远程控制的可穿戴手套。

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