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Visual Deep Learning-Based Mobile Robot Control: A Novel Weighted Fitness Function-Based Image Registration Model
(Springer Science and Business Media Deutschland GmbH, 2021)
The recent development of faster and more accurate deep learning models has enabled researchers to utilize the potential of deep learning in robotics. Convolutional neural networks used for the process of semantic segmentation ...
Design and Development of a Holonomic Mobile Robot for Material Handling and Transportation Tasks
(Springer Science and Business Media Deutschland GmbH, 2021)
Modern intelligent manufacturing systems are dynamic environments with the ability to respond and adapt to various internal and external changes that can occur during the manufacturing process. By default, they imply ...
Flight Mechanics, Aerodynamics and Modelling of Quadrotor
(Springer Science and Business Media Deutschland GmbH, 2021)
In recent years, quadrotors are one of the most popular platforms for the development of unmanned aerial vehicles, and their application trend is rapidly increasing for both commercial and research purposes. Their main ...
Characterization of Tube Repair Weld in Thermal Power Plant Made of a 12% Cr Tempered Martensite Ferritic Steel
(Springer-Verlag Berlin, Berlin, 2017)
The heat resistant tempered martensite ferritic steel X20CrMoV121 (DIN) has been extensively used within the last few decades as a material for boiler tubing systems and pipelines in thermal power plants (TPP). Long-term ...
Real-Time Mobile Robot Perception Based on Deep Learning Detection Model
(Springer Science and Business Media Deutschland GmbH, 2022)
The recent advances in deep learning models have enabled the robotics community to utilize their potential. The mobile robot domain on which deep learning has the most influence is scene understanding. Scene understanding ...
Machine Retrofitting for Tissue Paper Industry—INTERFOLDER Case
(Springer Science and Business Media B.V., 2022)
This paper is a presentation of applied design knowledge as well as practical experience in mechanical engineering and industrial automation in order to retrofit machines. The main goal is to offer affordable solution for ...
Object Detection and Reinforcement Learning Approach for Intelligent Control of UAV
(Springer Science and Business Media Deutschland GmbH, 2022)
In recent years, the development of deep learning models that can generate more accurate predictions and operate in real-time has brought both opportunities and challenges across the various domains of robotic vision. This ...
The Framework for Mobile Robot Task Planning Based on the Optimal Manufacturing Schedule
(Springer, Cham, Switzerland, 2023)
Integrated process planning and scheduling of manufacturing entities
represents one of the most impactful processes for optimizing production systems. The result of integrated process planning and scheduling is visually ...
Neural Based Optimization of Composite Curing Process
(Elsevier Inc, 2021)
This paper addresses the application of nature inspired methods to the optimization of resin cure in thick or thin composite laminates. The methodology presented in this work consists in the coupling of artificial neural ...