Evidence map›Paper›PMID 38400468›Full record

ReviewSensors (Basel, Switzerland)2024

Sensing of Continuum Robots: A Review.

Peter Jan Sincak, Erik Prada, Ľubica Miková, Roman Mykhailyshyn, Martin Varga, Tomas Merva, Ivan Virgala

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Peter Jan SincakFaculty of Mechanical Engineering, Technical University of Košice, 04200 Košice, Slovakia.ORCID 0000-0002-6815-0262
Erik PradaFaculty of Mechanical Engineering, Technical University of Košice, 04200 Košice, Slovakia.ORCID 0000-0001-7226-1240
Ľubica MikováFaculty of Mechanical Engineering, Technical University of Košice, 04200 Košice, Slovakia.ORCID 0000-0003-2864-0651
Roman MykhailyshynWalker Department of Mechanical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-1203-3446
Martin VargaFaculty of Mechanical Engineering, Technical University of Košice, 04200 Košice, Slovakia.ORCID 0000-0003-3606-5351
Tomas MervaFaculty of Mechanical Engineering, Technical University of Košice, 04200 Košice, Slovakia.ORCID 0000-0002-1089-9908
Ivan VirgalaFaculty of Mechanical Engineering, Technical University of Košice, 04200 Košice, Slovakia.ORCID 0000-0001-8273-2384

Funding

Ministry of Education, science, research and sport of the Slovak Republic VEGA 1/0201/21Ministry of Education, science, research and sport of the Slovak Republic VEGA 1/0436/22
6 · The paper itself

Abstract

The field of continuum robotics is rapidly developing. The development of new kinematic structures, locomotion principles and control strategies is driving the development of new types of sensors and sensing methodologies. The sensing in continuum robots can be divided into shape perception and environment perception. The environment perception is focusing on sensing the interactions between the robot and environment. These sensors are often embedded on an outer layer of the robots, so the interactions can be detected. The shape perception is sensing the robot's shape using various principles. There are three main groups of sensors that use the properties of electricity, magnetism and optics to measure the shape of the continuum robots. The sensors based on measuring the properties of electricity are often based on measuring the electrical resistance or capacitance of the flexible sensor. Sensors based on magnetism use properties of permanent magnets or coils that are attached to the robot. Their magnetic field, flux or other properties are then tracked, and shape reconstruction can be performed. The last group of sensors is mostly based on leveraging the properties of traveling light through optical fibers. There are multiple objectives of this work. Objective number one is to clearly categorize the sensors and make a clear distinction between them. Objective number two is to determine the trend and progress of the sensors used in continuum robotics. And finally, the third objective is to define the challenges that the researchers are currently facing. The challenges of sensing the shape or the interaction with the environment of continuum robots are currently in the miniaturization of existing sensors and the development of novel sensing methods.

Indexed as

continuum robotsenvironment sensingflexible sensorsshape sensingsoft robots

Identifiers

PMID38400468
PMCPMC10893043

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.