Evidence map›Paper›PMID 33567658›Full record

ArticleSensors (Basel, Switzerland)2021

An Optimal Footprint Based Coverage Planning for Hydro Blasting Robots.

Thejus Pathmakumar, Madan Mohan Rayguru, Sriharsha Ghanta, Manivannan Kalimuthu, Mohan Rajesh Elara

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Thejus PathmakumarEngineering Product Development Pillar, Singapore University of Technology and Design, Singapore 487372, Singapore.ORCID 0000-0002-4010-570X
Madan Mohan RayguruEngineering Product Development Pillar, Singapore University of Technology and Design, Singapore 487372, Singapore.ORCID 0000-0003-4339-4444
Sriharsha GhantaEngineering Product Development Pillar, Singapore University of Technology and Design, Singapore 487372, Singapore.
Manivannan KalimuthuEngineering Product Development Pillar, Singapore University of Technology and Design, Singapore 487372, Singapore.
Mohan Rajesh ElaraEngineering Product Development Pillar, Singapore University of Technology and Design, Singapore 487372, Singapore.ORCID 0000-0001-6504-1530

Funding

National Robotics Programme under its Robotics Enabling Capabilities 330 and Technologies 192 22 00058
6 · The paper itself

Abstract

The hydro blasting of metallic surfaces is an essential maintenance task in various industrial sites. Its requirement of a considerable labour force and time, calls for automating the hydro blasting jobs through mobile robots. A hydro blasting robot should be able to cover the required area for a successful implementation. If a conventional robot footprint is chosen, the blasting may become inefficient, even though the concerned area is completely covered. In this work, the blasting arm's sweeping angle is chosen as the robot's footprint for hydro blasting task, and a multi-objective optimization-based framework is proposed to compute the optimal sweeping arc. The genetic algorithm (GA) methodology is exploited to compute the optimal footprint, which minimizes the blasting time and energy simultaneously. Multiple numerical simulations are performed to show the effectiveness of the proposed approach. Moreover, the strategy is successfully implemented on our hydro blasting robot named Hornbill, and the efficacy of the proposed approach is validated through experimental trials.

Indexed as

coverage planninghydro blasting robotmulti-objective optimizationoptimal footprint

Identifiers

PMID33567658
PMCPMC7915230

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.