Evidence map›Paper›PMID 35808453›Full record

ArticleSensors (Basel, Switzerland)2022

Affordable Motion Tracking System for Intuitive Programming of Industrial Robots.

Martin Švejda, Martin Goubej, Arnold Jáger, Jan Reitinger, Ondřej Severa

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Martin ŠvejdaNTIS Research Centre, Faculty of Applied Sciences, University of West Bohemia, 30100 Pilsen, Czech Republic.
Martin GoubejNTIS Research Centre, Faculty of Applied Sciences, University of West Bohemia, 30100 Pilsen, Czech Republic.ORCID 0000-0003-4073-0705
Arnold JágerNTIS Research Centre, Faculty of Applied Sciences, University of West Bohemia, 30100 Pilsen, Czech Republic.ORCID 0000-0003-3871-4538
Jan ReitingerNTIS Research Centre, Faculty of Applied Sciences, University of West Bohemia, 30100 Pilsen, Czech Republic.ORCID 0000-0001-5317-5013
Ondřej SeveraNTIS Research Centre, Faculty of Applied Sciences, University of West Bohemia, 30100 Pilsen, Czech Republic.

Funding

ECSEL JU 876362-2Ministry of Industry and Trade FV20597
6 · The paper itself

Abstract

The paper deals with a lead-through method of programming for industrial robots. The goal is to automatically reproduce 6DoF trajectories of a tool wielded by a human operator demonstrating a motion task. We present a novel motion-tracking system built around the HTC Vive pose estimation system. Our solution allows complete automation of the robot teaching process. Specific algorithmic issues of system calibration and motion data post-processing are also discussed, constituting the paper's theoretical contribution. The motion tracking system is successfully deployed in a pilot application of robot-assisted spray painting.

Indexed as

RoboticsCalibrationHumansMotioncollaborative roboticsHTC Viveindustrial robotslead-through programmingmotion controlmotion trackingpose estimationspray coatingtrajectory planning

Identifiers

PMID35808453
PMCPMC9269710

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.