Results 21 to 30 of about 2,779,608 (292)

Prototype design of an aerial robotic platform for indoor applications [PDF]

open access: yesMATEC Web of Conferences, 2023
There is an increased interest in using aerial robotic platforms for indoor applications in industrial and manufacturing environments. One such example is stocktaking in warehouses, where the use of other mobile robotic systems is not efficient as they ...
Botha Natasha   +3 more
doaj   +1 more source

Studies on geotextiles and their use in municipal waste disposal construction [PDF]

open access: yesJournal of Research and Innovation for Sustainable Society, 2023
Landfill is one of the world's most prevalent and commonly utilized waste disposal systems. The effectiveness of landfilling is dependent on a technological, economic, and regulatory framework that appears to be insufficient in many nations.
Bogdan Ivan   +7 more
doaj   +1 more source

Learning Controllers for Industrial Robots [PDF]

open access: yesMachine Learning, 1996
One of the most significant cost factors in robotics applications is the design and development of real-time robot control software. Control theory helps when linear controllers have to be developed, but it doesn’t sufficiently support the generation of non-linear controllers, although in many cases (such as in compliance control), nonlinear control is
BAROGLIO, Cristina   +4 more
openaire   +2 more sources

Using Advanced Industrial Robotics for Spacecraft Rendezvous and Docking Simulation [PDF]

open access: yes, 2011
One of the most challenging and risky missions for spacecraft is to perform Rendezvous and Docking (RvD) autonomously in space. To ensure a safe and reliable operation, such a mission must be carefully designed and thoroughly verified before a real ...
Ou Ma, Boge, Toralf, Toralf Boge, Ma, Ou
core   +1 more source

Investigations on Factors Affecting 3D-Printed Holes Dimensional Accuracy and Repeatability

open access: yesApplied Sciences, 2022
This paper investigates the impact of several factors related to manufacturing, design, and post-processing on the dimensional accuracy of holes built in the additively manufactured parts obtained by material extrusion process (MEX).
Diana Popescu   +4 more
doaj   +1 more source

A review on control systems hardware and software for robots of various scale and purpose. Part 1. Industrial robotics

open access: yesРоссийский технологический журнал, 2019
A review of robotic systems is presented. The paper analyzes applied hardware and software solutions and summarizes the most common block diagrams of control systems.
A. M. Romanov
doaj   +1 more source

Data augmentation methods for semantic segmentation-based mobile robot perception system [PDF]

open access: yesSerbian Journal of Electrical Engineering, 2022
Data augmentation has become a standard technique for increasing deep learning models’ accuracy and robustness. Different pixel intensity modifications, image transformations, and noise additions represent the most utilized data augmentation ...
Jokić Aleksandar   +3 more
doaj   +1 more source

Design of an Intuitive Master for Improving Teleoperation Task Performance Using the Functional Separation of Actuators: Movement and Gravity Compensation

open access: yesActuators, 2022
Teleoperation, in which humans and robots work together to improve work performance, is growing explosively. However, the work performance of teleoperation is not yet excellent.
Sang Uk Chon   +7 more
doaj   +1 more source

ROS Industrial - an Enabler for Industrial Robotics?

open access: yes, 2022
The integration of hardware and software components into new automation applications is still a big challenge regarding interface adaptations, communication, conduction of components and integration tests as well as optimization of parameters for the ...

core   +1 more source

A GAN-Based Multi-Sensor Data Augmentation Technique for CNC Machine Tool Wear Prediction

open access: yesIEEE Access, 2023
The prediction of CNC machine tool wear is limited due to the scarcity of data in industry. A sufficient amount of experimental and real-live factory data is missing to train accurate supervised machine learning prediction models.
Yuechi Jiang   +2 more
doaj   +1 more source

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