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Soft Variable Stiffness Joints for Controllable Grasp Synergies in Underactuated Robotic Hands

机译:软可变刚度关节,用于欠驱动机器人手中的可控抓握协同作用

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This paper presents the design and implementation of a soft robotic mechanism for joint stiffening to enable synergy control of an underactuated grasper. Typical underactuated grippers exhibit reduced cost and weight and automatic conforming to object shapes relative to fully actuated grippers but have minimal control over grasp shape and typically a smaller size range of graspable objects. These proposed controllable-stiffness joints (CSJs) act to augment the advantages of underactuated grippers by giving additional pose control and by increasing the size range of graspable objects. The CSJs are implemented here in a parallel gripper to show proof-of-concept, and grasping experiments were performed with and without the controllable-stiffness joints demonstrating their improvements to grasping capability. Over the seven objects tested, the CSJs enabled grasping for two objects that the underactuated gripper was unable to grasp, and for the remaining objects increased the distances from the gripper at which it could successfully grasp the objects by an average of 16.8 mm, representing increases in individual object grasp acquisition space from 16% to 600%.
机译:本文介绍了用于关节加固的软机器人机制的设计和实现,以实现对欠驱动抓取器的协同控制。相对于完全致动的抓具,典型的欠驱动抓具表现出降低的成本和重量以及自动适应物体形状,但是对抓握形状的控制最小,通常可抓握物体的尺寸范围较小。这些提议的可控刚度关节(CSJ)通过提供额外的姿势控制并通过增加可抓取对象的尺寸范围来增强欠驱动抓取器的优势。 CSJ在此处以并行抓爪实现,以显示概念验证,并且在有或没有可控刚度关节的情况下进行抓握实验,证明了它们对抓握能力的改进。在测试的七个物体上,CSJ能够抓握欠驱动抓爪无法抓握的两个物体,而其余物体与抓具的距离增加了,它可以成功抓取抓握器的距离平均增加了16.8毫米,表示增加了在单个对象中,获取空间从16%增至600%。

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