Interactive physical robot guidance through advanced 3D dynamic simulation-based robot control — A new eRobotics approach

E. G. Kaigom, J. Rosmann
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引用次数: 2

Abstract

Manual robot guidance is an intuitive and flexible approach to teach robots. It is particularly useful for manufacturers because of the low programming efforts. However, this method often requires compliance control that is generally not available in conventional position-controlled industrial robots. Addressing this issue from the perspective of simulation-driven engineering, we introduce in this contribution a novel approach for interactive physical robot guidance based upon simulated adaptable joint admittance control. The developed simulation-based controller is driven in real-time with real external joint torques estimated during interaction with a physical robot. Since the simulator closely replicates the dynamic behavior of the real robot, it enriches and enhances the robot guidance by providing unique and reliable information on the robot that is useful to the operator. The simulated compliant joint trajectories are fed back into the real robot controller to enable full-body guidance. By opening new and practical perspectives in assisted physical guidance of position-controlled robots, this approach hightlights the effectiveness of control-by-3D-simulation [1] as pursued by eRobotics [2] to address challenging issues in robotics and automation. Simulation and experimental case studies conducted on a physical 7 DoF KUKA LWR 4+ robot manipulator are provided to illustrate the performance of the approach.
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通过先进的三维动态仿真机器人控制的交互式物理机器人引导-一种新的人机学方法
人工机器人指导是一种直观、灵活的机器人教学方法。它对制造商特别有用,因为编程工作很少。然而,这种方法通常需要在传统的位置控制工业机器人中通常不具备的顺应性控制。为了解决这一问题,我们从仿真驱动工程的角度提出了一种基于仿真自适应关节导纳控制的交互式物理机器人引导新方法。所开发的基于仿真的控制器在与物理机器人交互过程中通过估算真实的外关节扭矩来实时驱动。由于仿真器紧密地复制了真实机器人的动态行为,它通过提供对操作者有用的关于机器人的独特和可靠的信息来丰富和增强机器人的引导。仿真关节柔顺轨迹反馈到真实机器人控制器中,实现机器人的全身导引。通过在位置控制机器人的辅助物理指导中开辟新的和实用的视角,这种方法突出了eRobotics[2]所追求的3d仿真控制[1]的有效性,以解决机器人和自动化中的挑战性问题。通过对KUKA LWR 4+型7自由度机械臂的仿真和实验,验证了该方法的有效性。
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