QR codes: From a Survey of the State-of-the-Art to Executable eQR Codes for the Internet of Things

S Scanzio, M Rosani, M Scamuzzi… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
QR codes are increasingly used in a plurality of scenarios, and research activities are being
successfully carried out to improve this technology and widen its contexts of applicability …

Review of fault-tolerant control systems used in robotic manipulators

A Milecki, P Nowak - Applied Sciences, 2023 - mdpi.com
Control systems that ensure robot operation during failures are necessary, particularly when
manipulators are operating in hazardous or hard-to-reach environments. In such …

Fault-tolerant control for robotic systems using a wavelet type-2 fuzzy brain emotional learning controller and a topsis-based self-organizing algorithm

DH Pham, TT Huynh, CM Lin - International Journal of Fuzzy Systems, 2023 - Springer
To improve control performance in robotic systems with faults and unknown uncertainties, a
fault-tolerant control (FTC) system based on a wavelet type-2 fuzzy brain emotional learning …

A robotic grinding motion planning methodology for a novel automatic seam bead grinding robot manipulator

W Guo, Y Zhu, X He - Ieee Access, 2020 - ieeexplore.ieee.org
Industrial robotics is a continuously developing area of in-depth robotics research, as
industrial robots have demonstrated to possess advantages in the robotic automation …

Uso de la codificación QR en el sector urbanístico: Un mapeo sistemático

JR Povea Martillo - 2021 - dspace.ups.edu.ec
En este trabajo de investigación se desarrolla una revisión de literatura sobre utilización de
la codificación quick response que identifique propuestas relevantes para los diferentes …

Intelligent control strategy for robotic arm by using adaptive inertia weight and acceleration coefficients particle swarm optimization

THS Li, PH Kuo, YF Ho, GH Liou - IEEE Access, 2019 - ieeexplore.ieee.org
This paper proposes an intelligent control strategy for enabling a robotic arm to grasp and
place water-filled bottles without spilling any of the water. First, the system architecture of a …

Multimodal prediction-based robot abnormal movement identification under variable time-length experiences

H Wu, W Yan, Z Xu, S Li, T Cheng, X Zhou - Journal of Intelligent & …, 2022 - Springer
Robots will eventually make part of our daily lives, helping us at home, taking care of the
elderly, and collaborating at work. In such Human-Robot Collaboration (HRC) scenarios …

RSAC: a robust deep reinforcement learning strategy for dimensionality perturbation

S Gupta, G Singal, D Garg, S Das - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Artificial agents are used in autonomous systems such as autonomous vehicles,
autonomous robotics, and autonomous drones to make predictions based on data …

Development and study of the operation of the module for determining the orientation of the manipulator joint

I Nevlyudov, S Novoselov… - … ТА ТЕХНОЛОГІЙ В …, 2022 - itssi-journal.com
In the field of mechatronic systems, manipulators are often used for automated assembly of
products, welding, painting parts and more. An important task is to optimize the travel time …

Detection and monitoring for anomalies and degradation of a robotic arm using machine learning

HA Taha, S Yacout, L Birglen - Advances in Automotive Production …, 2021 - Springer
Robotic arm performance varies due to normal and abnormal events. Normal events may
include degradation of equipment, motors, mechanical system joints, and gears, while …