A Deep Reinforcement-Learning Approach for Inverse Kinematics Solution of a High Degree of Freedom Robotic Manipulator

A Deep Reinforcement-Learning Approach for Inverse Kinematics Solution of a High Degree of Freedom Robotic Manipulator

The foundation and emphasis of robotic manipulator control is Inverse Kinematics (IK). Due to the complexity of derivation, difficulty of computation, and redundancy, traditional IK solutions pose numerous challenges to the operation of a variety of robotic manipulators. This paper develops a Deep R...

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Bibliographic Details
Main Authors: Aryslan Malik, Yevgeniy Lischuk, Troy Henderson, Richard Prazenica
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Robotics
Subjects:
robotics
robotic manipulator
Inverse Kinematics
neural networks
Reinforcement Learning
Deep Learning
Online Access:https://www.mdpi.com/2218-6581/11/2/44

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