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A topology optimisation based design of a compliant gripper for grasping objects with irregular shapes

机译:基于拓扑优化的柔性抓取器设计,用于抓取不规则形状的物体

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Complex steel structures such as power transmission towers require regular inspection and maintenance during their lifetime. This work is currently completed by teams of human workers who climb the live structures. The exposure of these workers to the risks of climbing and completing work on towers provides motivation for developing a robotic substitute. There are many complex elements of climbing power transmission towers, such as the variation in beam shapes, sizes and orientations. To the best of our knowledge, there is no existing robotic grasping solution that can be directly used in this complex environment. This paper presents a topology optimisation based design of a compliant gripper for grasping objects with irregular shapes such as the beam members found in power transmission towers. The structure of the gripper is obtained through the use of a modified topology optimisation model where stiffness constraints are implemented in the optimisation to increase the strength of the gripper in desired areas. The stiffness constrained topology optimisation produces a novel gripper design which is validated through both simulations and physical testing of the manufactured gripper on a variety of physical objects.
机译:诸如输电塔之类的复杂钢结构在其使用寿命期间需要定期检查和维护。这项工作目前由攀登现场结构的人类工人团队完成。这些工人暴露在攀爬和完成塔上工作的风险中,为开发机器人替代品提供了动力。爬电输电塔有许多复杂的元素,例如光束形状,大小和方向的变化。据我们所知,目前尚没有可在这种复杂环境中直接使用的机器人抓取解决方案。本文提出了一种基于拓扑优化的柔性抓取器设计,用于抓取具有不规则形状的物体,例如在输电塔中发现的横梁。抓具的结构是通过使用改进的拓扑优化模型获得的,其中在优化中实现了刚度约束,以增加所需区域中抓具的强度。刚度受限的拓扑优化产生了一种新颖的夹具设计,该仿真器通过对制造的夹具在各种物理对象上的仿真和物理测试进行了验证。

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