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SHAPE OPTIMIZATION OF 2D COMPLIANT LINKS FOR DESIGN OF INHERENTLY SAFE ROBOTS

机译:用于固有安全机器人设计的2D柔顺连杆的形状优化

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摘要

In this paper, we represent a preliminary work towards the design of compliant mechanisms for human safe co-robots. We developed a shape optimization framework for design of planar compliant links for inherently safe robotic manipulators. It is well known intentionally introducing compliance to mechanical design can increase safety of robots. However traditional approaches such as elastic joints or uniform compliant links, were either at the cost of significantly reduced performance or with increased extra complexity and cost. Here, we propose a novel method to design compliant robotic links with a safety constraint which is quantified by Head Injury Criterion (HIC). The robotic links are modeled as a 2D beam with a variable width. Given a safety threshold i.e. HIC constraint, the width of the beam is optimized to give a uniform distribution of HIC along the longitudinal direction of the link. Links with a uniform HIC distribution have a better control performance. Finally, this solution is validated by an huamn-robot impact simulation program built in Matlab.
机译:在本文中,我们代表了人类安全协同机器人顺应性机制设计的初步工作。我们开发了一种形状优化框架,用于设计本安型机器人操纵器的平面柔性连杆。众所周知,有意识地将顺从性引入机械设计可以提高机器人的安全性。但是,传统方法(例如弹性接头或统一的顺应性链接)要么以显着降低性能为代价,要么以增加额外的复杂性和成本为代价。在这里,我们提出了一种新颖的方法来设计具有安全约束的兼容机器人链接,该约束由头部受伤标准(HIC)量化。机械手链接建模为宽度可变的2D光束。给定安全阈值,即,HIC约束,梁的宽度被优化以沿链节的纵向给出HIC的均匀分布。 HIC分布均匀的链路具有更好的控制性能。最后,该解决方案通过Matlab中建立的huamn-robot冲击仿真程序进行了验证。

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