A Review on Inverse Kinematics, Control and Planning for Robotic Manipulators With and Without Obstacles via Deep Neural Networks

A Review on Inverse Kinematics, Control and Planning for Robotic Manipulators With and Without Obstacles via Deep Neural Networks

Robotic manipulators are highly valuable tools that have become widespread in the industry, as they can achieve great precision and velocity in pick and place as well as processing tasks. However, to unlock their complete potential, some problems such as inverse kinematics (IK) need to be solved: gi...

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Bibliographic Details
Main Authors: Ana Calzada-Garcia, Juan G. Victores, Francisco J. Naranjo-Campos, Carlos Balaguer
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Algorithms
Subjects:
deep learning
inverse kinematics
motion planning
motion control
obstacle avoidance
Online Access:https://www.mdpi.com/1999-4893/18/1/23
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