This work proposes a numerical approach based on a machine learning method associated to neural network back-propagation algorithm to solve the inverse kinematic problem. The algorithm was tested on a redundant manipulator. Obtained numerical results exhibit acceptable accuracy and precision compatible with standard industrial applications.

Machine Learning Algorithm for Robotic Inverse Kinematic Problem

Borboni A.
;
2023-01-01

Abstract

This work proposes a numerical approach based on a machine learning method associated to neural network back-propagation algorithm to solve the inverse kinematic problem. The algorithm was tested on a redundant manipulator. Obtained numerical results exhibit acceptable accuracy and precision compatible with standard industrial applications.
2023
Mechanisms and Machine Science
Ateneo di appartenenza
Inglese
2nd IFToMM Workshop for Sustainable Development Goals, I4SDG 2023
2023
esp
134
359
366
8
978-3-031-32438-3
978-3-031-32439-0
Springer Science and Business Media B.V.
kinematics; machine learning; neural networks; robotics; sdg 9 topic-industry
Goal 9: Industry, Innovation, and Infrastructure
none
Borboni, A.; Shakhovska, N.
273
info:eu-repo/semantics/conferenceObject
2
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/581127
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