Inverse Kinematics for Robotic Manipulators via Deep Neural Networks: Experiments and Results

This paper explores the application of Deep Neural Networks (DNNs) to solve the Inverse Kinematics (IK) problem in robotic manipulators. The IK problem, crucial for ensuring precision in robotic movements, involves determining joint configurations for a manipulator to reach a desired position or ori...

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Bibliografiske detaljer
Main Authors: Ana Calzada-Garcia, Juan G. Victores, Francisco J. Naranjo-Campos, Carlos Balaguer
Format: Article
Sprog:engelsk
Udgivet: MDPI AG 2025-06-01
Serier:Applied Sciences
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Online adgang:https://www.mdpi.com/2076-3417/15/13/7226
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