视觉伺服
任务(项目管理)
机器人
计算机科学
人工智能
计算机视觉
汽车工业
机械臂
对象(语法)
视觉控制
可视化
工业机器人
工程类
航空航天工程
系统工程
作者
Haiyan Wu,Thomas Timm Andersen,N. Andersen,Ole Ravn
标识
DOI:10.1109/iccar.2017.7942738
摘要
In food industry due to the high variety of the object including the shape, size and structure the involvement of real time robotic system is limited compared to the applications of robotic systems in automotive industry. For completing operations within food industry it is generally necessary to contain dynamical adjustment to each target in the control loop. This work focuses on using visual feedback to capture information of each piece of work for robotic control. A grasping and placing operation is selected as a case study of using visual servoing in slaughterhouse. For detecting the location of the target the color information provided by a visual sensor is utilized. The control command for the robot is generated based on the real time visual feedback. An industrial robot arm UR10 is applied to complete the operation. A lab-scale experimental setup is constructed for system validation. The experimental results show that the proposed visual servoing system works well for the grasping and placing task in slaughterhouse. The system is implemented in ROS and can be easily extended to similar operation tasks using different hardware.
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