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Hand Gesture Recognition for Collaborative Workstations: A Smart Command System Prototype

机译:协作工作站的手势识别:智能命令系统原型

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摘要

Human-machine collaboration is a key aspect in modem industries, which must be compliant to the Industry 4.0 paradigm. Although the collaboration can be achieved using a Collaborative Robot in a purposely designed workstation, this solution is not always neither feasible nor affordable for the specific task to be carried out in the workstation. On the other hand, using a smart HMI to make an industrial robot a 'smart' robot can be a better and affordable solution depending on the task. In this work we present the preliminary development and characteristics of an experimental HMI for smart manufacturing developed in MATLAB and ROS Industrial. The collaboration between humans and robots is achieved by leveraging the Faster R-CNN Object Detector to robustly detect and recognize the hand gestures performed in realtime. The system is based on a state machine to carry out simple tasks such as the repeated movement of the robot following a given trajectory and a pick and place task where the robot interactively reaches a given point and a jog modality.
机译:人机协作是现代工业中的关键方面,必须符合工业4.0范式。尽管可以在专门设计的工作站中使用协作机器人来实现协作,但是对于在工作站中执行的特定任务而言,此解决方案并不总是既可行也不可行。另一方面,根据任务的不同,使用智能HMI使工业机器人成为“智能”机器人可以是一种更好,更经济的解决方案。在这项工作中,我们介绍了在MATLAB和ROS Industrial中开发的用于智能制造的实验性HMI的初步开发和特点。人与机器人之间的协作是通过利用Faster R-CNN对象检测器来可靠地检测和识别实时执行的手势来实现的。该系统基于状态机执行简单的任务,例如按照给定的轨迹重复执行机器人的运动以及机器人交互地到达给定的点和点动模式的拾取和放置任务。

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