School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
School of Mechatronics Engineering, Shenyang Aerospace University, Shenyang 110136, China.
Sensors (Basel). 2022 Jun 24;22(13):4766. doi: 10.3390/s22134766.
Robot hands play an important role in the interaction between robots and the environment, and the precision and complexity of their tasks in work production are becoming higher and higher. However, because the traditional manipulator has too many driving components, complex control, and a lack of versatility, it is difficult to solve the contradiction between the degrees of freedom, weight, flexibility, and grasping ability. The existing manipulator has difficulty meeting the diversified requirements of a simple structure, a large grasping force, and the ability to automatically adapt to shape when grasping an object. To solve this problem, we designed a kind of underactuated manipulator with a simple structure and strong generality based on the metamorphic mechanism principle. First, the mechanism of the manipulator was designed on the basis of the metamorphic mechanism principle, and a kinematics analysis was carried out. Then, the genetic algorithm was used to optimize the size parameters of the manipulator finger structure. Finally, for different shapes of objects, the design of the control circuit binding force feedback control was carried out with a grasping experiment. The experimental results show that the manipulator has simple control and can grasp objects of different sizes, positions, and shapes.
机器人手在机器人与环境的交互中起着重要作用,其在工作生产中的任务精度和复杂性越来越高。然而,由于传统的机械手具有太多的驱动部件、复杂的控制和缺乏通用性,因此很难解决自由度、重量、灵活性和抓取能力之间的矛盾。现有的机械手很难满足结构简单、抓取力大以及自动适应形状的多样化要求。为了解决这个问题,我们基于变形机构原理设计了一种结构简单、通用性强的欠驱动机械手。首先,根据变形机构原理设计了机械手的机构,并进行了运动学分析。然后,使用遗传算法优化了机械手手指结构的尺寸参数。最后,针对不同形状的物体,设计了控制电路绑定力反馈控制,并进行了抓取实验。实验结果表明,机械手控制简单,可以抓取不同大小、位置和形状的物体。