Deep learning application pros and cons over algorithm deep learning application pros and cons over algorithm
Deep learning is a new area of machine learning research. Deep learning technology
applies the nonlinear and advanced transformation of model abstraction into a large …
applies the nonlinear and advanced transformation of model abstraction into a large …
Review on: The service robot mathematical model
After nearly 30 years of development, service robot technology has made important
achievements in the interdisciplinary aspects of machinery, information, materials, control …
achievements in the interdisciplinary aspects of machinery, information, materials, control …
Integrating virtual reality and robotic operation system (ROS) for AGV navigation
AJ Moshayedi, KMS Reza, AS Khan… - … Transactions on AI and …, 2023 - publications.eai.eu
Abstract The use of AGVs (Automated Guided Vehicles) is rapidly expanding in various
applications and industries, meeting the growing demand for automated material handling …
applications and industries, meeting the growing demand for automated material handling …
Artificial intelligence in advancing occupational health and safety: an encapsulation of developments
Objectives: In an era characterized by dynamic technological advancements, the well-being
of the workforce remains a cornerstone of progress and sustainability. The evolving …
of the workforce remains a cornerstone of progress and sustainability. The evolving …
Simulation study and PID tune of automated guided vehicles (AGV)
AJ Moshayedi, J Li, L Liao - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
Automated Guided Vehicles (AGV) is a famous robot group which is used in various
applications with different shapes. These robot applications start with industries carrying and …
applications with different shapes. These robot applications start with industries carrying and …
Design and development of robotic collaborative system for automated construction of reciprocal frame structures
Robotic technologies have shown their potential to improve efficiency, precision, and safety
for construction tasks. In this paper, the concept of design for robotic construction (DfRC) is …
for construction tasks. In this paper, the concept of design for robotic construction (DfRC) is …
Personal image classifier based handy pipe defect recognizer (hpd): Design and test
AJ Moshayedi, AS Khan, S Yang… - 2022 7th International …, 2022 - ieeexplore.ieee.org
Pipelines are known as a traditional solution for transporting various media such as gas, oil,
and water. But pipes are always combined with the defects. Some of these defects are …
and water. But pipes are always combined with the defects. Some of these defects are …
A hybrid LiDAR-based map** framework for efficient path planning of AGVs in a massive indoor environment
Path planning is a computation-consuming task for autonomous ground vehicles (AGVs) in a
massive indoor environment, especially for AGVs having limited computing resources …
massive indoor environment, especially for AGVs having limited computing resources …
[PDF][PDF] Automation attendance systems approaches: a practical review
Accounting for people is the first step of every manpower-based organization in today's
world. Hence, it takes up a signification amount of energy and value in the form of money …
world. Hence, it takes up a signification amount of energy and value in the form of money …
Fusion BASED AGV robot navigation solution comparative analysis and VREP simulation
Today, Automated Guided Vehicle (AGV) robots are integral to many factories. One of the
basic problems of these robots is accurate navigation, which, in addition to creating security …
basic problems of these robots is accurate navigation, which, in addition to creating security …