[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 …
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
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 …
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
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 …
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 …
Wallfollowing Autonomous Mobile Robot; both of them are Neural Network …
Artistic robotic arm: drawing portraits on physical canvas under 80 seconds
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 …
evidenced by the growing number of researchers focusing on either the speed or quality of …
Simulation design of trajectory planning robot manipulator
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 …
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 …
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 …
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 …
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 …
transformation matrix for model-based reinforcement learning in robotics. It shows how the …