工业机器人微小异形零件动态高精度抓取控制方法OA
Dynamic high-precision grasping control method for small irregular parts of industrial robots
微小异形零件的尺寸通常在毫米甚至微米级别,且形状复杂多变(如曲面、棱角、孔洞等),这给机器人的抓取操作带来了巨大挑战.依据机器人机械臂的动力学方程以及夹持器张度与目标零件尺寸之间的关系,确定零件质心坐标和抓取时间,基于零件质心距完成抓取点定位.参照机械臂三维抓取模型,获取机器人抓取位姿参数,结合抓取节点定义向量的累加值,整定抓取参数.通过计算机器人各个关节条件概率分布完成目标抓取行为,以此实现抓取控制.实验结果表明,利用所提方法进行机器人抓取控制,在不同零件输送速度条件下,机器人抓取成功率始终不低于 80%.
The size of small irregular parts is usually in the millimeter or even micrometer range,and their shapes are complex and varied(such as curved surfaces,edges,holes,etc.),which poses great challenges to the grasping operation of robots.Based on the dynamic equation of the robotic arm and the relationship between the gripper tension and the target part size,the center of mass coordinates and grasping time of the part are determined,and the grasping point positioning is completed based on the center of mass distance of the part.With reference to the 3D grasping model of the robotic arm,the robot's grasping pose parameters are obtained;combined with the cumulative value of vectors defined by the grasping nodes,the grasping parameters are adjusted.By calculating the probability distribution of each joint condition of the robot,the target grasping behavior is completed to achieve grasping control.The experimental results show that when the proposed method is used for robot grasping control,the success rate of robot grasping is always not less than 80%under different part conveying speed conditions.
周颀;谢义
安徽电子信息职业技术学院 机电工程学院,安徽 蚌埠 233000安徽电子信息职业技术学院 机电工程学院,安徽 蚌埠 233000
信息技术与安全科学
工业机器人微小异形零件抓取参数视觉传感器抓取成功率
industrial robotsmall irregular partsgrasping parametersvisual sensorcapture success rate
《佛山科学技术学院学报(自然科学版)》 2026 (3)
51-57,7
安徽省教育厅教学创新团队项目(2022cxtd010)安徽省教育厅教学资源库项目(2022jxzyk004)
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