Development of a vision based pose estimation system for robotic machining and improving its accuracy using LSTM neural networks and sparse regression
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DOI: 10.1016/j.rcim.2021.102262
Abstract: Abstract In this work, an eye to hand camera based pose estimation system is developed for robotic machining and the accuracy of the estimated pose is improved using two different approaches, namely Long Short Term… read more here.
Keywords: robotic machining; pose estimation; sparse regression;