Defining User Coordinate Systems for Industrial Robots in Mixed Reality

This article presents a solution to support the identification of important user coordinate systems for creating an industrial robot work programme. The objective of this article is to provide a support tool for users for a task that may arise numerous times during the lifecycle of industrial robots. The solution described in the article offers a developable support tool that can be transferred from the industrial robotics environment to the collaborative robots' application environment, where the proportion of professionally trained and experienced users may be smaller compared to the previously mentioned area. By reducing the time required and improving the quality of task results, it can contribute to increasing the efficiency of robot systems.

Authors

Institutions

Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/cando-epe65072.2024.10772842
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Defining User Coordinate Systems for Industrial Robots in Mixed Reality

Károly Széll, Csaba Hajdu, Péter Galambos, Zoltán Szilágyi et al.
Advanced Manufacturing and Logistics Optimization
article

Defining User Coordinate Systems for Industrial Robots in Mixed Reality

Károly Széll, Csaba Hajdu, Péter Galambos, Zoltán Szilágyi, Ákos Soós
article en

Abstract

This article presents a solution to support the identification of important user coordinate systems for creating an industrial robot work programme. The objective of this article is to provide a support tool for users for a task that may arise numerous times during the lifecycle of industrial robots. The solution described in the article offers a developable support tool that can be transferred from the industrial robotics environment to the collaborative robots' application environment, where the proportion of professionally trained and experienced users may be smaller compared to the previously mentioned area. By reducing the time required and improving the quality of task results, it can contribute to increasing the efficiency of robot systems.

Buda Health Center (HU)
Openalex Percentile: Top 63%
Advanced Manufacturing and Logistics Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.