Evidence map›Paper›PMID 31835307›Full record

ArticleSensors (Basel, Switzerland)2019

Innovative Mobile Manipulator Solution for Modern Flexible Manufacturing Processes.

Jose Luis Outón, Iván Villaverde, Héctor Herrero, Urko Esnaola, Basilio Sierra

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Human-Inspired Holistic Control for Mobile Humanoid Robots.Biomimetics (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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

5 authors.

Jose Luis OutónTecnalia Research and Innovation, Industry and Transport Division, 20009 San Sebastián, Spain.ORCID 0000-0001-8268-4562
Iván VillaverdeTecnalia Research and Innovation, Industry and Transport Division, 20009 San Sebastián, Spain.
Héctor HerreroTecnalia Research and Innovation, Industry and Transport Division, 20009 San Sebastián, Spain.ORCID 0000-0002-3372-0288
Urko EsnaolaTecnalia Research and Innovation, Industry and Transport Division, 20009 San Sebastián, Spain.
Basilio SierraRobotics and Autonomous Systems Group, Universidad del País Vasco/Euskal Herriko Unibertsitatea, 20009 San Sebastián, Spain.

Funding

European Union's Horizon 2020 research and innovation programme 723616
6 · The paper itself

Abstract

There is a paradigm shift in current manufacturing needs that is causing a change from the current mass-production-based approach to a mass customization approach where production volumes are smaller and more variable. Current processes are very adapted to the previous paradigm and lack the required flexibility to adapt to the new production needs. To solve this problem, an innovative industrial mobile manipulator is presented. The robot is equipped with a variety of sensors that allow it to perceive its surroundings and perform complex tasks in dynamic environments. Following the current needs of the industry, the robot is capable of autonomous navigation, safely avoiding obstacles. It is flexible enough to be able to perform a wide variety of tasks, being the change between tasks done easily thanks to skills-based programming and the ability to change tools autonomously. In addition, its security systems allow it to share the workspace with human operators. This prototype has been developed as part of THOMAS European project, and it has been tested and demonstrated in real-world manufacturing use cases.

Indexed as

autonomous navigationindustrial mobile manipulatorIndustry 4.0perceptionroboticssensor fusionskill-based programming

Identifiers

PMID31835307
PMCPMC6960724

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.