[Retracted] An Improved Inverse Kinematics Solution for a Robot Arm Trajectory Using Multiple Adaptive Neuro‐Fuzzy Inference Systems

MRA Refaai - Advances in Materials Science and Engineering, 2022 - Wiley Online Library
Inverse kinematics of robots is a critical topic in the robotics field. Although there are
conventional ways of solving inverse kinematics, soft computing is an important technology …

Artificial neural network for solving the inverse kinematic model of a spatial and planar variable curvature continuum robot

A Ghoul, K Kara, S Djeffal, M Benrabah… - Archive of Mechanical …, 2022 - journals.pan.pl
Labyrinth-like paths, clustered environments where a traditional rigid robot cannot fit the bill
due to their rigid links and their inability to adapt to these kinds of paths, thus it would be …

Dynamic modeling, simulation, and experimental verification of a wafer handling SCARA robot with decoupling servo control

Y He, X Mai, C Cui, J Gao, Z Yang, K Zhang… - IEEE …, 2019 - ieeexplore.ieee.org
In this paper, we propose a novel coordinated control method based on decoupling servo
control to design a 4-DOF direct-drive SCARA robot for wafer handling purpose. As the basis …

Analysis of artificial intelligence application using back propagation neural network and fuzzy logic controller on wall-following autonomous mobile robot

A Budianto, R Pangabidin, M Syai'In… - … on Electronics and …, 2017 - ieeexplore.ieee.org
This paper presents a comparison of two methods of artificial intelligence which applied in
Wallfollowing Autonomous Mobile Robot; both of them are Neural Network …

Artistic robotic arm: drawing portraits on physical canvas under 80 seconds

S Nasrat, T Kang, J Park, J Kim, SJ Yi - Sensors, 2023 - mdpi.com
In recent years, the field of robotic portrait drawing has garnered considerable interest, as
evidenced by the growing number of researchers focusing on either the speed or quality of …

Simulation design of trajectory planning robot manipulator

WS Pambudi, E Alfianto, A Rachman… - Bulletin of Electrical …, 2019 - beei.org
Robots can be mathematically modeled with computer programs where the results can be
displayed visually, so it can be used to determine the input, gain, attenuate and error …

A Direct-Drive Permanent-Magnet Motor Selective Compliance Assembly Robot Arm: Modeling, Motion Control, and Trajectory Optimization Based on Direct …

Z Liu, C Tang, Y Fang, PD Pfister - IEEE Access, 2023 - ieeexplore.ieee.org
Most selective compliance assembly robot arms (SCARAs) adopt a conventional indirect-
drive structure consisting of servo motors and gearings, which presents drawbacks …

Extreme learning machine and back propagation neural network comparison for temperature and humidity control of oyster mushroom based on microcontroller

GM Fuady, AH Turoobi, MN Majdi… - … on Electronics and …, 2017 - ieeexplore.ieee.org
This paper presents design and experimental studies of Extreme Learning Machine (ELM) to
control temperature and humidity of oyster mushroom farm house. The ideal temperature to …

[PDF][PDF] Self-learning of Delta robot using inverse kinematics and artificial neural networks

Z Iklima, MI Muthahhar, A Khan, A Zody - Sinergi, 2021 - pdfs.semanticscholar.org
Abstract As known as Parallel-Link Robot, Delta Robot is a kind of Manipulator Robot that
consists of three arms mounted in parallel. Delta Robot has a central joint constructed as an …

Homogeneous transformation matrix based neural network for model based reinforcement learning on robot manipulator

MR Diprasetya, A Schwung - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
This paper introduces a novel architecture of neural networks based on a homogeneous
transformation matrix for model-based reinforcement learning in robotics. It shows how the …