Sensitive robust tactile fingertips and shape-morphing actuation for robotic grippers

Calum R. Briggs, Yanni Sporidis, Peter N. Vicars, Lenore Rasmussen, M. Popović, M. Bowers
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Abstract

Human grasp is gentle yet firm, with integrated tactile touch feedback. Current robotic sensing is mainly visual, which is useful up until the point of contact. To understand how an object is being gripped, tactile feedback is needed. Ras Labs makes Synthetic Muscle™, which is a class of electroactive polymer (EAP) based materials and actuators that sense pressure from gentle touch to high impact, controllably contract and expand at low voltage (battery levels), and attenuate force. EAP development towards sensing provided for fingertip-like sensors that were able to detect very light pressures to 0.005 N and with a wide pressure range over 45 N with high linearity. Algorithms, machine learning (ML), and artificial intelligence (AI) were integrated into these sensors for object and grip determination (position, grip force, any slip or wobble) and immediate correction for pick-and-place and other applications. High tack EAPs also have good adhesion to a variety of substances and had self-healing properties. Using these adhesive EAPs and other strategies, sensors and actuators were created where all components stay together. Synthetic Muscle™ was also being retrofitted as actuators into a partial human hand-like biomimetic gripper that focused on the pincer grip. The combination of EAP shape-morphing and sensing promises the potential for robotic grippers with human hand-like control and tactile sensing. This is expected to advance robotics, whether it is for agriculture, medical surgery, therapeutic or personal care, or in hazardous environments where humans cannot enter, as well as for collaborative robotics to allow humans and robots to intuitively work safely and effectively together.
灵敏稳健的触觉指尖和形状变形驱动的机器人抓手
人的抓握温柔而坚定,集成触觉触摸反馈。目前的机器人传感主要是视觉的,这是有用的,直到接触点。为了理解一个物体是如何被抓住的,触觉反馈是必要的。Ras实验室生产的Synthetic Muscle™是一类基于电活性聚合物(EAP)的材料和执行器,可以感知从轻微触摸到高冲击的压力,在低电压(电池电量)下可控地收缩和膨胀,并衰减力。EAP向传感方向的发展提供了指尖状传感器,能够检测0.005 N以下的非常轻的压力,并且具有高线性度的45 N以上的宽压力范围。算法、机器学习(ML)和人工智能(AI)被集成到这些传感器中,用于确定物体和抓地力(位置、握力、任何滑动或摆动),并为拾取和放置等应用进行即时校正。高粘性eap对多种物质具有良好的附着力和自愈性能。使用这些粘合剂eap和其他策略,传感器和执行器的所有组件都保持在一起。合成肌肉™也被改造成一个部分人手的仿生抓手,专注于钳握力。EAP形状变形和传感的结合为具有类似人手控制和触觉传感的机器人抓手提供了潜力。这有望推动机器人技术的发展,无论是用于农业、医疗外科、治疗或个人护理,还是在人类无法进入的危险环境中,以及协作机器人技术,使人类和机器人能够直观地安全有效地协同工作。
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