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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2021

Orientation angle based online motion control of an Aldebaran NAO humanoid robot in V-REP software environment using novel sunflower optimization (SFO) algorithm

The record

Type
Publication
Date
1 December 2021
Level
National
Journal
International Journal of Information Technology Singapore
Volume
13
Issue
6
Pages
2175-2183
Published
1 December 2021
DOI
10.1007/s41870-021-00796-7
Scopus ID
85114794684
ISSN
25112104
Authors
4
Open access
No
Citations
7
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryModerate confidenceJudged

    Sunflower optimization algorithm controls Aldebaran NAO humanoid robot orientation during navigation and obstacle avoidance in V-REP virtual environment.

    Moderate confidence
    The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3.1 Research and development

    Sub-themePrimaryModerate confidenceJudged

    Robotics optimization algorithm research advancing autonomous navigation and motion control.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “Orientation angle based online motion control of an Aldebaran NAO humanoid robot in V-REP software environment using novel sunflower optimization (SFO) algorithm”. Kortex.

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