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Record W4395956364 · doi:10.18280/jesa.570204

Investigating the Design and Application of Mobile Robotic Devices with Manipulation Devices for Space Technology

2024· article· en· W4395956364 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal Européen des Systèmes Automatisés · 2024
Typearticle
Languageen
FieldComputer Science
TopicEngineering Education and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsHuman–computer interactionSpace (punctuation)Computer scienceMobile deviceEmbedded systemEngineeringMultimediaWorld Wide WebOperating system

Abstract

fetched live from OpenAlex

The subject's relevance stems from the rapid advancement of science and technology, which drives the extensive utilization of controlled mobile robot models with manipulators across diverse domains.The study aims to explore the development of versatile mobile robotic devices using manipulators for space applications, drawing from the expertise of specialists at Almaty University of Power Engineering and Telecommunications.The methodological approach is based on a combination of methods of system analysis of the principles of building a highly functional model of a mobile robot made based on manipulation devices, with an analytical study of the main directions of using mobile robots in the space sphere.The study underscores designing space mobile robots based on human body dynamics, stressing the necessity of robust mathematical models and specialized software, meeting stringent reliability, simplicity, and safety criteria.The findings underscored the critical role of manipulator-based mobile robot modeling in space technology development, offering practical insights for developers in various technological fields, including aerospace.The practical implications of the research include the possibility of developing and implementing reliable and efficient manipulative mobile robots for use in space, which will help to increase the efficiency of space operations and reduce risks to humans.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.878
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.262
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it