School of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China.
Institute of Semiconductors, Guangdong Academy of Sciences, Guangdong, 510075, China.
Nat Commun. 2022 Aug 26;13(1):5030. doi: 10.1038/s41467-022-32702-5.
In this paper, we propose a multimodal flexible sensory interface for interactively teaching soft robots to perform skilled locomotion using bare human hands. First, we develop a flexible bimodal smart skin (FBSS) based on triboelectric nanogenerator and liquid metal sensing that can perform simultaneous tactile and touchless sensing and distinguish these two modes in real time. With the FBSS, soft robots can react on their own to tactile and touchless stimuli. We then propose a distance control method that enabled humans to teach soft robots movements via bare hand-eye coordination. The results showed that participants can effectively teach a self-reacting soft continuum manipulator complex motions in three-dimensional space through a "shifting sensors and teaching" method within just a few minutes. The soft manipulator can repeat the human-taught motions and replay them at different speeds. Finally, we demonstrate that humans can easily teach the soft manipulator to complete specific tasks such as completing a pen-and-paper maze, taking a throat swab, and crossing a barrier to grasp an object. We envision that this user-friendly, non-programmable teaching method based on flexible multimodal sensory interfaces could broadly expand the domains in which humans interact with and utilize soft robots.
在本文中,我们提出了一种多模态灵活传感器接口,用于通过人类裸露的双手交互式地教授软体机器人执行熟练的运动。首先,我们开发了一种基于摩擦纳米发电机和液态金属传感的柔性双模智能皮肤(FBSS),它可以同时进行触觉和非接触式传感,并实时区分这两种模式。有了 FBSS,软体机器人可以对触觉和非接触式刺激做出自动反应。然后,我们提出了一种距离控制方法,使人类能够通过裸手眼协调来教授软体机器人运动。结果表明,参与者可以通过“移动传感器和教学”的方法,在短短几分钟内有效地教导自主反应的软体连续体操纵器在三维空间中的复杂运动。软体操纵器可以重复人类教授的动作,并以不同的速度回放。最后,我们证明了人类可以轻松地教导软体操纵器完成特定任务,例如完成纸笔迷宫、进行咽喉拭子采样和越过障碍物抓取物体。我们设想,这种基于灵活多模态传感器接口的用户友好、无需编程的教学方法可以广泛扩展人类与软体机器人交互和利用的领域。