Granular jamming has recently become popular in soft robotics with widespread applications including industrial gripping, surgical robotics and haptics. Previous work has investigated the use of various techniques that exploit the nature of granular physics to improve jamming performance, however this is generally underrepresented in the literature compared to its potential impact. We present the first research that exploits vibration-based fluidisation actively (e.g., during a grip) to elicit bespoke performance from granular jamming grippers. We augment a conventional universal gripper with a computer-controllled audio exciter, which is attached to the gripper via a 3D printed mount, and build an automated test rig to allow large-scale data collection to explore the effects of active vibration. We show that vibration in soft jamming grippers can improve holding strength. In a series of studies, we show that frequency and amplitude of the waveforms are key determinants to performance, and that jamming performance is also dependent on temporal properties of the induced waveform. We hope to encourage further study focused on active vibrational control of jamming in soft robotics to improve performance and increase diversity of potential applications.
翻译:最近,在广泛应用的软机器人中,包括工业牵引、手术机器人和机械等,颗粒干扰最近变得很受欢迎。以前的工作调查了利用颗粒物理学性质来改进干扰性能的各种技术的使用情况,然而,与潜在影响相比,这些技术在文献中的代表性普遍不足。我们介绍的第一项研究是积极利用以振动为基础的流体化(例如,在吸附期间),以从颗粒阻力抓住器中引出显性性能。我们增加了计算机控制的音频Exciter的常规通用控制器,它通过一个3D打印的挂载器附在握住器上,并建立了一个自动测试设备,以便大规模收集数据,探索主动振动的效果。我们显示软振动抓手的振动可以提高握力。在一系列研究中,我们显示波形的频率和振动性能是性能的关键决定因素,而干扰性能也取决于导波形的时空特性。我们希望鼓励进一步研究侧重于软机器人干扰的主动振动控制,以提高性能和潜力的多样性。