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Record W2078336695 · doi:10.1115/detc2002/mech-34227

Dynamic Stability of Mobile Manipulators Considering Suspension Characteristics

2002· article· en· W2078336695 on OpenAlexaff
R. F. Abo-Shanab, Nariman Sepehri

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRobotic Locomotion and Control
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsExcavatorFlexibility (engineering)Base (topology)Stability (learning theory)Computer scienceControl theory (sociology)Suspension (topology)Mobile manipulatorDynamic simulationControl engineeringEngineeringSimulationMobile robotRobotStructural engineeringArtificial intelligenceMathematics

Abstract

fetched live from OpenAlex

In this paper, the previously developed model for dynamic stability of mobile manipulators, by the authors [1], is extended. The extended model not only takes into account the dynamics of the base that can potentially rock back-and-forth but also, includes the flexibility of the contact between the base and the ground. The novel method of virtual links is used to facilitate the dynamic modelling of the mobile manipulator. The application of the study is directed at industrial machines that carry human-operated hydraulic manipulators. The model is therefore used to simulate planar movements of a Caterpillar 215B excavator-based log-loader. It is shown that the flexibility of the contact between the base and the ground reduces the manipulator’s stability. Assuming rigid contact between the base and the ground overestimates the stability of mobile manipulators. Therefore, the flexibility between the base and the ground should be considered in the dynamic model to accurately investigate the stability of the mobile manipulators.

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.786
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.200
Teacher spread0.184 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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