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Large Deflection of a Compliant Beam with Non-uniform Stiffness Distribution using a PRB-3R Model

机译:使用PRB-3R模型具有非均匀刚度分布的柔顺光束的大偏转

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Soft arms of service robots for safe manipulation, or soft legs of mobile robots for efficient locomotion have been intensively developed. The deflection of complaint beams for the soft arms or soft legs is a key criterion for design and control of robotic motions. Pseud-rigid-body (PRB) model are commonly used to predict deflection of the compliant beams with a uniform stiffness. However, soft robotic arms and legs often possess a non-uniform stiffness distribution for improving manipulation effectiveness and locomotion efficiency. In this work, a PRB-3R model is used to predict large deflections of a compliant beam with a non-uniform distribution of stiffness. By using the Euler-Bernoulli beam theory, the large deflection of a cantilever beam with a non-uniform stiffness distribution under an applied load was also derived. Results show that the PRB-3R model can precisely predict mechanical behavior of compliant beams that are not too sharp. It is not proper to apply this model to beams with very large slope. This work provides an effective design method for the soft appendages of a biomimetic robot.
机译:为了安全操纵的服务机器人软臂,或者移动机器人的软腿,已经集中开发了有效的运动机器人。软臂或软腿的投诉梁的偏转是设计和控制机器人运动的关键标准。普通刚体(PRB)模型通常用于预测均匀刚度的柔顺光束的偏转。然而,软机械臂和腿通常具有不均匀的刚度分布,用于提高操纵效果和运动效率。在这项工作中,使用PRB-3R模型来预测具有刚度的不均匀分布的柔顺光束的大偏转。通过使用Euler-Bernoulli光束理论,还导出了在施加的载荷下具有非均匀刚度分布的悬臂梁的大偏转。结果表明,PRB-3R模型可以精确地预测不太尖锐的符合梁的机械行为。将此模型应用于具有非常大的斜率的光束是不合适的。这项工作为仿生机器人的软附录提供了有效的设计方法。

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