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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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Ana Calzada-Garcia, Juan G. Victores, Francisco J. Naranjo-Campos, Carlos Balaguer
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Subjects:	deep learning inverse kinematics robotics curriculum learning
Online Access:	https://www.mdpi.com/2076-3417/15/13/7226