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An investigation of singularities in robot kinematic chains aiming at building robot calibration models for off-line programming

机译:机器人运动链奇异性研究,旨在建立离线编程机器人校准模型

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摘要

Robot Calibration is a term applied to the procedures used in determining actual values that describe the geometric dimensions and mechanical characteristics of a robot or multibody structure. A robot calibration system must consist of appropriate robot modeling techniques, accurate measurement equipment, and reliable model parameter determination methods. For practical improvement of a robot's absolute accuracy, error compensation methods are required that use calibration results. Important to robot calibration methods is an accurate kinematic model that has identifiable parameters. This parameterized kinematic model must be complete, continuous and minimal. This work concerns to the implementation of techniques to optimize kinematic models for robot calibration through numerical optimization of the mathematical model. The optimized model is then used to compensate the model errors in an off-line programming system, enhancing significantly the robot kinematic model accuracy. The optimized model can be constructed in an easy and straight operation, through automatic assignment of joint coordinate systems and geometric parameter to the robot links. Assignment of coordinate systems by this technique avoids model singularities that usually spoil robot calibration results.
机译:机器人校准是一个术语,用于确定实际值的过程,这些实际值描述了机器人或多体结构的几何尺寸和机械特性。机器人校准系统必须包括适当的机器人建模技术,精确的测量设备和可靠的模型参数确定方法。为了实际提高机器人的绝对精度,需要使用校准结果的误差补偿方法。对于机器人校准方法而言,重要的是具有可识别参数的精确运动学模型。此参数化运动模型必须完整,连续且最小。这项工作涉及通过数学模型的数值优化来优化用于机器人校准的运动学模型的技术的实现。然后,将优化的模型用于补偿离线编程系统中的模型错误,从而显着提高了机器人运动学模型的准确性。通过将关节坐标系和几何参数自动分配给机器人链接,可以轻松,直接地构建优化模型。通过这种技术分配坐标系可以避免通常会破坏机器人校准结果的模型奇异之处。

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