A comprehensive review of vision-based robotic applications: Current state, components, approaches, barriers, and potential solutions

MT Shahria, MSH Sunny, MII Zarif, J Ghommam… - Robotics, 2022 - mdpi.com
Being an emerging technology, robotic manipulation has encountered tremendous
advancements due to technological developments starting from using sensors to artificial …

Optimizing the performance of breast cancer classification by employing the same domain transfer learning from hybrid deep convolutional neural network model

L Alzubaidi, O Al-Shamma, MA Fadhel, L Farhan… - Electronics, 2020 - mdpi.com
Breast cancer is a significant factor in female mortality. An early cancer diagnosis leads to a
reduction in the breast cancer death rate. With the help of a computer-aided diagnosis …

A review of convolutional neural networks and gabor filters in object recognition

M Rai, P Rivas - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) have become a classic approach to solving
challenging computer vision problems. Much of its success is due to its ability to discover …

[HTML][HTML] An artificial intelligence of things-based picking algorithm for online shop in the society 5.0's context

M Muslikhin, JR Horng, SY Yang, MS Wang… - Sensors, 2021 - mdpi.com
In this study, an Artificial Intelligence of Things (AIoT)-based automated picking system was
proposed for the development of an online shop and the services for automated shipping …

[HTML][HTML] Class distribution-aware adaptive margins and cluster embedding for classification of fruit and vegetables at supermarket self-checkouts

K Hameed, D Chai, A Rassau - Neurocomputing, 2021 - Elsevier
The complex task of vision based fruit and vegetables classification at a supermarket self-
checkout poses significant challenges. These challenges include the highly variable …

Robot peg-in-hole assembly based on contact force estimation compensated by convolutional neural network

T Zhang, X Liang, Y Zou - Control Engineering Practice, 2022 - Elsevier
In order to reduce the cost of robot integrated application, this paper proposes a robot peg-in-
hole assembly method without force/torque sensor. A disturbance observer based on …

Navigating Unstructured Space: Deep Action Learning-Based Obstacle Avoidance System for Indoor Automated Guided Vehicles

A Aryanti, MS Wang, M Muslikhin - Electronics, 2024 - mdpi.com
Automated guided vehicles (AGVs) have become prevalent over the last decade. However,
numerous challenges remain, including path planning, security, and the capacity to operate …

Development of Multi-Robotic Arm System for Sorting System Using Computer Vision

CD Vo, DA Dang, PH Le - Journal of Robotics and Control (JRC), 2022 - journal.umy.ac.id
This paper develops a multi-robotic arm system and a stereo vision system to sort objects in
the right position according to size and shape attributes. The robotic arm system consists of …

Ball Detection Using Deep Learning Implemented on an Educational Robot Based on Raspberry Pi

D Keča, I Kunović, J Matić, A Sovic Krzic - Sensors, 2023 - mdpi.com
RoboCupJunior is a project-oriented competition for primary and secondary school students
that promotes robotics, computer science and programing. Through real life scenarios …

Development of a chinese chess robotic system for the elderly using convolutional neural networks

PJ Chen, SY Yang, CS Wang, M Muslikhin, MS Wang - Sustainability, 2020 - mdpi.com
According to the data from Alzheimer's Disease International (ADI) in 2018, it is estimated
that 10 million new dementia patients will be added worldwide, and the global dementia …