Evidence map›Paper›PMID 39251697›Full record

ArticleScientific reports2024

A framework of insole blanking robot based on adaptive edge detection and FSPS-BIT* path planning.

Rui Tang, Shirong Guo, Kunfu Wang, Hongdi Lin, Lujin Huang, Gang Mou

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

6 authors.

Rui TangCollege of Advanced Manufacturing, Fuzhou University, Jinjiang, 362200, China.
Shirong GuoFaculty of Engineering, Monash University, Wellington Road, Clayton, VIC, 3800, Australia. shirong.guo@monash.edu.
Kunfu WangCollege of Advanced Manufacturing, Fuzhou University, Jinjiang, 362200, China.
Hongdi LinCollege of Advanced Manufacturing, Fuzhou University, Jinjiang, 362200, China.
Lujin HuangCollege of Advanced Manufacturing, Fuzhou University, Jinjiang, 362200, China.
Gang MouCollege of Advanced Manufacturing, Fuzhou University, Jinjiang, 362200, China. MouGangMail@163.com.

Funding

Fuzhou University (FZU) 29359
6 · The paper itself

Abstract

Insole blanking production technology plays a vital role in contemporary machining and manufacturing industries. Existing insole blanking production models have limitations because most robots are required to accurately position the workpiece to a predetermined location, and special auxiliary equipment is usually required to ensure the precise positioning of the robot. In this paper, we present an adaptive blanking robotic system for different lighting environments, which consists of an industrial robot arm, an RGB-D camera configuration, and a customized insole blanking table and mold. We introduce an innovative edge detection framework that utilizes color features and morphological parameters optimized through particle swarm optimization (PSO) techniques to Adaptive recognition of insole edge contours. A path planning framework based on FSPS-BIT* is also introduced, which integrates the BIT* algorithm with the FSPS algorithm for efficient path planning of the robotic arm.

Indexed as

Adaptive edge detectionBIT*Insole blankingPath planningRobotic system

Identifiers

PMID39251697
PMCPMC11385949

What OpenQuestion holds

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Registered trials

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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.