Feedforward Backpropagation Artificial Neural Network for Modeling the Forward Kinematics of a Robotic Manipulator-Reference-Cited by-同舟云学术

Feedforward Backpropagation Artificial Neural Network for Modeling the Forward Kinematics of a Robotic Manipulator

Published:2023-11-20 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)
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Author:

Bouzid Rania¹,Narayan Jyotindra²,Gritli Hassène³

Affiliation:

1. University of Carthage RISC Laboratory (LR16ES07),Higher Institute of Information and Communication Technologies,Tunis,Tunisia,1164

2. Indian Institute of Technology Guwahati,Mechatronics and Robotics Laboratory Department of Mechanical Engineering,Guwahati,India,781039

3. University of Tunis El Manar,Laboratory of Robotics, Informatics and Complex Systems (RISC Lab - LR16ES07) National Engineering School of Tunis,Tunis,Tunisia,1002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391285/10391106/10391576.pdf?arnumber=10391576

Reference20 articles.

1. Cognitive Science as a Source of Forward and Inverse Models of Human Decisions for Robotics and Control

2. A systematic review on cooperative dual-arm manipulators: modeling, planning, control, and vision strategies

3. Forward Kinematic Modelling with Radial Basis Function Neural Network Tuned with a Novel Meta-Heuristic Algorithm for Robotic Manipulators

4. Forward Kinematics for Suspended Under-Actuated Cable-Driven Parallel Robots With Elastic Cables: A Neural Network Approach

5. Determining Homogenous Transformation Matrix from DH Parameter Table using Deep Learning Techniques

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