基于F/T传感器的工业机器人人机交互导纳控制

Eleonora Mariotti, Emanuele Magrini, Alessandro De Luca
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引用次数: 28

摘要

我们提出了一种用于工业机器人的安全物理人机交互(pHRI)方法,包括碰撞检测,区分意外接触和故意接触,以及实现协作任务。典型的工业机器人具有封闭的控制体系结构,仅接受速度/位置参考输入,没有关节扭矩传感器,并且很少或根本没有关于机器人动力学和低级关节控制器的信息可供用户使用。尽管如此,利用末端执行器上的力/扭矩(F/T)传感器,可以实现基于运动学信息、关节编码器和电机电流测量以及末端执行器力/扭矩的安全pHRI策略。在手动引导模式下的协作中实施了导纳控制律,当机器人处于自主操作状态和与人类同时协作时,都可以进行全身碰撞检测。几个pHRI实验在配备ATI F/T传感器的KUKA KR5 Sixx R650机器人上验证了该方法。
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Admittance Control for Human-Robot Interaction Using an Industrial Robot Equipped with a F/T Sensor
We present an approach to safe physical Human-Robot Interaction (pHRI) for industrial robots, including collision detection, distinguishing accidental from intentional contacts, and achieving collaborative tasks. Typical industrial robots have a closed control architecture that accepts only velocity/position reference inputs, there are no joint torque sensors, and little or no information is available to the user on robot dynamics and on low-level joint controllers. Nonetheless, taking also advantage of the presence of a Force/Torque (F/T) sensor at the end-effector, a safe pHRI strategy based on kinematic information, on measurements from joint encoders and motor currents, and on end-effector forces/torques can be realized. An admittance control law has been implemented for collaboration in manual guidance mode, with whole-body collision detection in place both when the robot is in autonomous operation and when is simultaneously collaborating with a human. Several pHRI experiments validate the approach on a KUKA KR5 Sixx R650 robot equipped with an ATI F/T sensor.
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