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章鱼吸附式仿生软体人工吸盘

Anchoring like octopus: biologically inspired soft artificial sucker.

机构信息

Design Robotics, School of Design, Royal College of Art, London, UK

Advanced Robotics @ Queen Mary (ARQ), Faculty of Science & Engineering, Queen Mary University of London, London, UK.

出版信息

J R Soc Interface. 2017 Oct;14(135). doi: 10.1098/rsif.2017.0395.

Abstract

This paper presents a robotic anchoring module, a sensorized mechanism for attachment to the environment that can be integrated into robots to enable or enhance various functions such as robot mobility, remaining on location or its ability to manipulate objects. The body of the anchoring module consists of two portions with a mechanical stiffness transition from hard to soft. The hard portion is capable of containing vacuum pressure used for actuation while the soft portion is highly conformable to create a seal to contact surfaces. The module is integrated with a single sensory unit which exploits a fibre-optic sensing principle to seamlessly measure proximity and tactile information for use in robot motion planning as well as measuring the state of firmness of its anchor. In an experiment, a variable set of physical loads representing the weights of potential robot bodies were attached to the module and its ability to maintain the anchor was quantified under constant and variable vacuum pressure signals. The experiment shows the effectiveness of the module in quantifying the state of firmness of the anchor and discriminating between different amounts of physical loads attached to it. The proposed anchoring module can enable many industrial and medical applications where attachment to environment is of crucial importance for robot control.

摘要

本文提出了一种机器人锚固模块,这是一种用于与环境附着的传感器化机构,可以集成到机器人中,以实现各种功能,如机器人的移动性、原地停留或操纵物体的能力。锚固模块的主体由两部分组成,其机械刚度从硬到软逐渐变化。硬部分能够容纳用于致动的真空压力,而软部分则高度顺应,以形成与接触表面的密封。该模块集成了一个单一的传感器单元,该单元利用光纤传感原理,无缝测量接近度和触觉信息,用于机器人运动规划,并测量其锚固的紧固状态。在实验中,一组可变的物理负载代表潜在机器人主体的重量被连接到模块上,并在恒定和可变的真空压力信号下对其保持锚固的能力进行了量化。实验表明,该模块能够有效地量化锚固的紧固状态,并区分连接到其上的不同物理负载的量。所提出的锚固模块可以应用于许多工业和医疗应用中,在这些应用中,与环境的附着对于机器人控制至关重要。

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