iCub mk.3平行腕关节优化设计的进化方法

Raed Bsili, G. Metta, A. Parmiggiani
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引用次数: 3

摘要

有效载荷重量比是设计机器人手腕时最重要的指标之一。为了使其最大化并减少驱动机器人连杆所需的动力份额,采用并联运动机构(PKMs)是一种解决方案。事实上,pkm允许移动远端质量更接近机器人的基础,实际上增加了总体有效载荷。另一方面,pkm通常具有有限的运动范围(RoM)和工作空间中的不均匀运动的特征。在本文中,我们考虑了一类2自由度球面六杆机构。我们首先建立了系统的运动学模型。然后,我们用数值优化方法解决了工作空间限制和均匀性问题。将微分进化(一种多目标、多元、无梯度的优化方法)应用于系统模型,探索大空间的参数组合。优化算法允许获得几乎均匀和大的RoM(在两个轴上超过50°)。然后,我们继续进行关节的详细设计,因为我们设想将其集成到未来发布的iCub机器人前臂-手组件上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Evolutionary Approach for the Optimal Design of the iCub mk.3 Parallel Wrist
The payload-to-weight ratio is one of the most important metrics when designing robotic wrists. A solution to maximize it and to reduce the share of the motive power required to drive the robot's links is to employ parallel kinematic mechanisms (PKMs). Indeed PKMs allow relocating distal masses closer to the robot's base actually increasing the overall payload. On the other hand, PKMs are often characterized by limited ranges of motion (RoM) and nonuniform motion in their workspace. In this article, we considered a class of 2-DOF spherical six-bar mechanisms. We first developed the kinematic model of the system. We then tackled both the workspace limitation and uniformity issues with a numerical optimization approach. Differential evolution (a multi-objective, multivariate, gradient-free optimization method) was applied to the model of the system to explore a large space of parameter combinations. The optimization algorithm allowed obtaining an almost uniform and large RoM (exceeding 50°on both axes). We then proceeded with the detailed design of the joint as we envision integrating it on the future releases of the iCub robot forearm-hand assemblies.
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