Evidence map›Paper›PMID 36502245›Full record

ArticleSensors (Basel, Switzerland)2022

Development of a Visual Perception System on a Dual-Arm Mobile Robot for Human-Robot Interaction.

Wei-Ting Weng, Han-Pang Huang, Yu-Lin Zhao, Chun-Yeon Lin

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

4 authors.

Wei-Ting WengDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.
Han-Pang HuangDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.
Yu-Lin ZhaoDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.
Chun-Yeon LinDepartment of Mechanical Engineering, National Taiwan University, Taipei 10617, Taiwan.ORCID 0000-0003-4585-5881

Funding

National Science and Technology Council MOST 110-2221-E-002-110-MY3
6 · The paper itself

Abstract

This paper presents the development of a visual-perception system on a dual-arm mobile robot for human-robot interaction. This visual system integrates three subsystems. Hand gesture recognition is utilized to trigger human-robot interaction. Engagement and intention of the participants are detected and quantified through a cognitive system. Visual servoing uses YOLO to identify the object to be tracked and hybrid, model-based tracking to follow the object's geometry. The proposed visual-perception system is implemented in the developed dual-arm mobile robot, and experiments are conducted to validate the proposed method's effects on human-robot interaction applications.

Indexed as

RoboticsAlgorithmsHumansVisual Perceptionhand-gesture recognitionhuman-robot interactionmobile robotsmodel-based trackingvisual-servo control

Identifiers

PMID36502245
PMCPMC9739664

What OpenQuestion holds

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LicenceCC BY
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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.