Online Measuring of Robot Positions Using Inertial Measurement Units, Sensor Fusion and Artificial Intelligence

This research introduces a new method to estimate the position of a robot's Tool Center Point (TCP) using Inertial Measurement Units (IMUs), sensor fusion and Artificial Neural Networks (ANNs). The objective is to make an accurate estimate of TCP navigation, using the signals from an IMU as res...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.5678-5689
Hauptverfasser:	Campos, Benedito A. N., Motta, Jose Mauricio S. T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Artificial neural networks Calibration Computer Science Computer Science, Information Systems Engineering Engineering, Electrical & Electronic IMU calibration Inertial coordinates Inertial platforms Inertial sensing devices Multilayer perceptrons Neural networks Noise Noise prediction online robot calibration Position measurement Position sensing Real time Robot kinematics Robot sensing systems Robots Science & Technology Sensor fusion Sensors Technology Telecommunications Trajectory
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