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Robotic Contour Tracing with High-Speed Vision and Force-Torque Sensing based on Dynamic Compensation Scheme

机译:基于动态补偿方案的高速视觉和力扭矩传感机器人轮廓跟踪

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This research aims to realize robotic planar-contour tracing of unknown object with high-speed and high accuracy. The challenge lies in the existence of uncertainties, which can be attributed to a robot itself (such as modeling errors, mechanical defects like backlash) or due to environmental issues (like calibration errors, pose fluctuation of a workpiece). We propose to realize the tracing task by a non-model-based dynamic compensation approach based on the coarse-to-fine philosophy, which enables the manipulation with high speed and good accuracy simultaneously. This is achieved by adopting a methodology where a main robot is performing fast but coarse motion, while an add-on module is conducting accurate compensation of the overall uncertainties using high-speed visual feedback as well as force-torque feedback. Experiments for verifying the proposed method are conducted.
机译:这项研究的目的是实现高速,高精度的未知物体的机器人平面轮廓跟踪。挑战在于不确定性的存在,不确定性可归因于机器人本身(例如建模错误,机械缺陷(例如反冲))或由于环境问题(例如校准错误,工件的姿势波动)。我们建议通过基于粗到精原理的基于非模型的动态补偿方法来实现跟踪任务,该方法可以同时进行高速和高精度的操作。这是通过采用以下方法实现的:主机器人执行快速但粗略的运动,而附加模块使用高速视觉反馈以及力转矩反馈对总体不确定性进行精确补偿。进行了验证该方法的实验。

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