Results 21 to 30 of about 17,633 (264)

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

Serbian 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, Đokić Lazar, Petrović Milica, Miljković Zoran   +3 more
doaj   +1 more source

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

Российский 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

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

Actuators, 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, Jaehong Seo, Jungyeong Kim, Sangchul Han, Sangshin Park, Jin Tak Kim, Jinhyeon Kim, Jungsan Cho   +7 more
doaj   +1 more source

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

IEEE 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, Benny Drescher, Guoguang Yuan   +2 more
doaj   +1 more source

Underwater gripping control with waterproof glove for robot hand

Electronics Letters, 2022
With the expansion of robots, researchers have focused on robot tasks with waterproof functions. Although numerous underwater‐robot studies have been published recently, there has been minimal research on the waterproofing of robotic hands.
Myoung‐Su Choi, Dongwoo Nam, Bureum Jun, Ji‐Hun Bae, Bummo Ahn   +4 more
doaj   +1 more source

Mixed Reality-Based Robotics Education—Supervisor Perspective on Thesis Works

Applied Sciences
This paper examines a series of bachelor’s and master’s thesis projects from the supervisor’s perspective, focusing on how Augmented Reality (AR) and Mixed Reality (MR) can enhance industrial robotics engineering education.
Horst Orsolits, Antonio Valente, Maximilian Lackner   +2 more
doaj   +1 more source

Industrial Robot Skills [PDF]

, 2013
When robots are working in dynamic environments, close to humans lacking extensive knowledge of robotics, there is a strong need to simplify the user interaction and make the system execute as autonomously as possible. For industrial robots working side-by-side with humans in manufacturing industry, AI systems are necessary to lower the demand on ...
openaire   +1 more source

Multi-objective design optimisation of a delta coordinate measurement machine [PDF]

MATEC Web of Conferences
A systematic approach for multi-objective optimisation in machine design is presented and further demonstrated through a case study on a delta Coordinate Measurement Machine (CMM).
Louw Jakobus Murray, de Ronde Willis, Marais Stephen, Maweni Thabisa   +3 more
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Structural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli

FEBS Open Bio, EarlyView.
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty, Kelsi R. Hall, Zachary D. Tillett, Liam S. Turk, James S. Davies, Michael J. Currie, Hamish G. Brown, Sepideh Valimehr, Peter D. Mace, Andrew E. Whitten, Santosh Panjikar, Eric Hanssen, Rachel A. North, Renwick C.J. Dobson   +13 more
wiley   +1 more source