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Paper

A neural multiclassifier system for object recognition in robotic vision applications

by Independent / Community 000e1a22b6f6b5a4a16bfe019f41320f11656cb4

Free2AITools Nexus Index

67.1

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 80

P: Popularity 55

R: Recency 100

Q: Quality 65

Tech Context

Vital Performance —

Abstract A robotic vision system has been developed that is based on the optical recognition of objects to be manipulated, that are located in the workspace of the robotic manipulator. The developed system has a low development and operation cost, is controlled via an external computer and operates in an unstructured complex environment. The vision system is desired to recognize the objects, which are placed in the workspace and also to identify the exact position and orientation of each part...

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Semantic Scholar 19 Citations

Paper Information Summary
Entity Passport
Registry ID	000e1a22b6f6b5a4a16bfe019f41320f11656cb4
License	ArXiv
Provider	semantic_scholar

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Cite this paper

Academic & Research Attribution

BibTeX

@misc{000e1a22b6f6b5a4a16bfe019f41320f11656cb4,
  author = {Unknown},
  title = {A neural multiclassifier system for object recognition in robotic vision applications Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/000e1a22b6f6b5a4a16bfe019f41320f11656cb4}},
  note = {Accessed via Free2AITools.}
}

APA Style

Unknown. (2026). A neural multiclassifier system for object recognition in robotic vision applications [Paper]. Free2AITools. https://api.semanticscholar.org/000e1a22b6f6b5a4a16bfe019f41320f11656cb4

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Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 80

Popularity (P) 55

Recency (R) 100

Quality (Q) 65

💬 Index Insight

FNI V2.0 for A neural multiclassifier system for object recognition in robotic vision applications: Authority (A:80), Popularity (P:55), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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📝 Executive Summary

"Abstract A robotic vision system has been developed that is based on the optical recognition of objects to be manipulated, that are located in the workspace of the robotic manipulator. The developed system has a low development and operation cost, is controlled via an external computer and operates in an unstructured complex environment. The vision system is desired to recognize the objects, which are placed in the workspace and also to identify the exact position and orientation of each part..."

❝ Cite Node

@article{Unknown2026A,
  title={A neural multiclassifier system for object recognition in robotic vision applications},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

🔗 Full Paper

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📊 Research Signals

📈19CitationsSemantic Scholar

🏛️80AuthorityFNI pillar

⏱️100RecencyFNI pillar

✅65QualityFNI pillar

🗂️vision multimediaField

🏷️ Research Topics

vision models

📦Data Source: semantic_scholar

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🆔 Identity & Source

source: semantic_scholar
author: Unknown
license: ArXiv
tags: paper, research, academic

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
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downloads: 0
stars: null
forks: null
citations: 19

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