This paper introduces the BRL/Pisa/IIT (BPI) SoftHand: a single actuator-driven, low-cost, 3D-printed, tendon-driven, underactuated robot hand that can be used to perform a range of grasping tasks. Based on the adaptive synergies of the Pisa/IIT SoftHand, we design a new joint system and tendon routing to facilitate the inclusion of both soft and adaptive synergies, which helps us balance durability, affordability and grasping performance of the hand. The focus of this work is on the design, simulation, synergies and grasping tests of this SoftHand. The novel phalanges are designed and printed based on linkages, gear pairs and geometric restraint mechanisms, and can be applied to most tendon-driven robotic hands. We show that the robot hand can successfully grasp and lift various target objects and adapt to hold complex geometric shapes, reflecting the successful adoption of the soft and adaptive synergies. We intend to open-source the design of the hand so that it can be built cheaply on a home 3D-printer. For more detail: https://sites.google.com/view/bpi-softhandtactile-group-bri/brlpisaiit-softhand-design
翻译:本文介绍BRL/ Pisa/ IIT( BPI) SoftHand : 一个单一的动画家驱动的、低成本的、3D打印的、有节奏驱动的、有节奏驱动的、低活化的机器人手,可用于执行一系列掌握的任务。基于Pisa/ IIT SoftHand 的适应性协同效应,我们设计了新的联合系统,并引导方向,以促进纳入软性和适应性协同效应,帮助我们平衡软性和适应性协同效应。这项工作的重点是设计、模拟、协同效应和掌握这个SoftHand 的设计、模拟、协同效应和掌握测试。新颖的phalanges是根据链接、配具配对和几何限制机制设计和印刷的,并可用于大多数有节能驱动的机器人手。我们表明,机器人手能够成功地掌握和提升各种目标对象,并适应于复杂的几何形状,反映软性和适应性协同效应的成功采用。我们打算打开手的设计,以便能够在家的3D- printbribliver- developblifal /formaximal groom.