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Development and experiments of a novel multifunctional underwater microrobot

机译:新型多功能水下微型机器人的研制与实验

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Compact structure, multifunction, and flexibility are normally considered as incompatible characteristics for legged microrobots. Most robots focused on complex structure of multi-joint legs to attain the multifunction and flexibility, while others had poor flexibility for miniaturization. In the field of underwater monitoring for applications such as pollution detection and video mapping in limited space, underwater microrobots are urgently demanded. To realize these purposes, we have developed several types of microrobots with both compact structure and flexible locomotion. However, they just realized walking, rotating, swimming, or floating motions. Without biomimetic fingers, they could not do some simple operations, such as grasping and carrying any objects to desired place. So, in this paper, we designed a novel type of biomimetic locomotion employing ionic polymer metal composite (IPMC) actuator as one-DOF leg. Then we proposed a new type of underwater microrobot using ten ionic polymer metal composite (IPMC) actuators as legs or fingers, which could realize walking, rotating, floating, and grasping motions. Also, we developed a prototype of this underwater microrobot and carried out some experiments to evaluate its walking and floating speeds. In addition, we used six IPMC actuators as fingers to grasp some small objects and float up. To realize the closed-loop control for the microrobot, we used three proximity sensors to detect and avoid the obstacle while walking.
机译:紧凑的结构,多功能和灵活性通常被认为是有腿微型机器人的不兼容特性。大多数机器人专注于复杂的多关节支腿结构,以实现多功能性和灵活性,而其他机器人的微型化灵活性却很差。在水下监测领域中,例如在有限空间内的污染检测和视频制图等应用中,迫切需要水下微型机器人。为了实现这些目的,我们开发了结构紧凑且运动灵活的多种类型的微型机器人。但是,他们只是意识到走路,旋转,游泳或漂浮运动。如果没有仿生手指,他们将无法执行一些简单的操作,例如抓住任何物体并将其搬运到所需位置。因此,在本文中,我们设计了一种新型的仿生运动,它采用离子聚合物金属复合材料(IPMC)作动器作为单自由度腿。然后,我们提出了一种新型的水下微型机器人,该机器人以十个离子聚合物金属复合材料(IPMC)作动器为腿或手指,可以实现步行,旋转,漂浮和抓握动作。此外,我们开发了这种水下微型机器人的原型,并进行了一些实验以评估其步行和漂浮速度。此外,我们使用六个IPMC执行器作为手指来抓住一些小物体并漂浮起来。为了实现对微型机器人的闭环控制,我们使用了三个接近传感器来检测并避开行走时的障碍物。

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