Yang Wenhui, Zhao Hongliang, He Chengxiao, Qin Longhui
School of Mechanical Engineering, Southeast University, Nanjing 211189, China.
State Key Laboratory of Mechanical Transmission for Advanced Equipment, Chongqing University, Chongqing 400044, China.
Biomimetics (Basel). 2025 Aug 5;10(8):512. doi: 10.3390/biomimetics10080512.
Robotic assembly of electrical connectors enables the automation of high-efficiency production of electronic products. A rigid gripper is adopted as the end-effector by the majority of existing works with a force-torque sensor installed at the wrist, which suffers from very limited perception capability of the manipulated objects. Moreover, the grasping and movement actions, as well as the inconsistency between the robot base and the end-effector frame, tend to result in angular misalignment, usually leading to assembly failure. Bio-inspired by the human finger, we designed a tactile finger in this paper with three characteristics: (1) Compliance: A soft 'skin' layer provides passive compliance for plenty of manipulation actions, thus increasing the tolerance for alignment errors. (2) Tactile Perception: Two types of sensing elements are embedded into the soft skin to tactilely sense the involved contact status. (3) Enhanced manipulation force: A rigid fingernail is designed to enhance the manipulation force and enable potential delicate operations. Moreover, a tactile-based alignment algorithm is proposed to search for the optimal orientation angle about the axis. In the application of U-disk insertion, the three characteristics are validated and a success rate of 100% is achieved, whose generalization capability is also validated through the assembly of three types of electrical connectors.
电气连接器的机器人装配实现了电子产品高效生产的自动化。大多数现有工作采用刚性夹具作为末端执行器,并在手腕处安装了力扭矩传感器,但其对被操作物体的感知能力非常有限。此外,抓取和移动动作以及机器人基座与末端执行器框架之间的不一致性往往会导致角度不对准,通常会导致装配失败。受人类手指的启发,我们在本文中设计了一种具有三个特点的触觉手指:(1)柔顺性:一层柔软的“皮肤”为大量操作动作提供被动柔顺性,从而增加对对准误差的容忍度。(2)触觉感知:两种类型的传感元件嵌入到柔软的皮肤中,以触觉方式感知所涉及的接触状态。(3)增强的操作力:设计了一个刚性指甲以增强操作力并实现潜在的精细操作。此外,还提出了一种基于触觉的对准算法,以搜索围绕轴的最佳定向角度。在U盘插入的应用中,验证了这三个特点,并实现了100%的成功率,其泛化能力也通过三种类型电气连接器的装配得到了验证。