论文标题
使用软件机器人部署的分布式传感器网络
Distributed Sensor Networks Deployed Using Soft Growing Robots
论文作者
论文摘要
由于它们的移动能力而不相对于环境滑动,因此软化的机器人对于在狭窄的空间中部署分布式传感器网络具有吸引力。感知这种机器人的状态也将增加他们作为人类安全,适应性操纵器的能力。但是,将分布式传感器掺入柔软的生长机器人是具有挑战性的,因为它需要刚性和软材料之间的接口,并且传感器网络需要承受明显的应变。在这项工作中,我们提出了一种将传感器添加到柔软生长的机器人中的方法,该机器人使用柔性印刷电路板,其中包含在层压板装甲中的微控制器和传感器单位,可保护它们免受不安全曲率的影响。我们证明了该系统在难以访问的空间中传递方向温度和湿度信息的能力。我们还展示并表征了一种使用惯性测量单元沿其长度部署的惯性测量单元,并开发一种数学模型来预测其准确性。这项工作提高了软化机器人的功能以及软机器人感应的领域。
Due to their ability to move without sliding relative to their environment, soft growing robots are attractive for deploying distributed sensor networks in confined spaces. Sensing of the state of such robots would also add to their capabilities as human-safe, adaptable manipulators. However, incorporation of distributed sensors onto soft growing robots is challenging because it requires an interface between stiff and soft materials, and the sensor network needs to undergo significant strain. In this work, we present a method for adding sensors to soft growing robots that uses flexible printed circuit boards with self-contained units of microcontrollers and sensors encased in a laminate armor that protects them from unsafe curvatures. We demonstrate the ability of this system to relay directional temperature and humidity information in hard-to-access spaces. We also demonstrate and characterize a method for sensing the growing robot shape using inertial measurement units deployed along its length, and develop a mathematical model to predict its accuracy. This work advances the capabilities of soft growing robots, as well as the field of soft robot sensing.