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Human-robot physical interaction and collaboration using an industrial robot with a closed control architecture

机译:使用具有封闭控制架构的工业机器人进行人机交互和协作

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In physical Human-Robot Interaction, the basic problem of fast detection and safe robot reaction to unexpected collisions has been addressed successfully on advanced research robots that are torque controlled, possibly equipped with joint torque sensors, and for which an accurate dynamic model is available. In this paper, an end-user approach to collision detection and reaction is presented for an industrial manipulator having a closed control architecture and no additional sensors. The proposed detection and reaction schemes have minimal requirements: only the outer joint velocity reference to the robot manufacturer's controller is used, together with the available measurements of motor currents and joint positions. No a priori information on the robot dynamic model and existing low-level joint controllers is strictly needed. A suitable on-line processing of the motor currents allows to distinguish between accidental collisions and intended human-robot contacts, so as to switch the robot to a collaboration mode when needed. Two examples of reaction schemes for collaboration are presented, with the user pushing/pulling the robot at any point of its structure (e.g., for manual guidance) or with a compliant-like robot behavior in response to forces applied by the human. The actual performance of the methods is illustrated through experiments on a KUKA KR5 manipulator.
机译:在物理人机交互中,快速研究和机器人对意外碰撞的安全反应这一基本问题已在高级研究型机器人上得到了成功解决,这些机器人受扭矩控制,可能配备了联合扭矩传感器,并且可以提供精确的动力学模型。在本文中,提出了一种最终用户的碰撞检测和反应方法,该方法用于具有封闭控制架构且没有附加传感器的工业机械手。提议的检测和反应方案具有最低要求:仅使用参考机器人制造商控制器的外部关节速度,以及可用的电机电流和关节位置测量值。无需严格要求机器人动态模型和现有的低级联合控制器的先验信息。电动机电流的适当在线处理可以区分意外碰撞和预期的人机接触,从而在需要时将机器人切换为协作模式。提出了用于协作的反应方案的两个示例,其中用户在其结构的任何点上推/拉机器人(例如,用于手动引导),或者具有响应于人类施加的力的类似顺应性的机器人行为。通过在KUKA KR5机械手上进行的实验说明了这些方法的实际性能。

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