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Record W7133087659

Centre-of-gravity control for a Mars Rover chassis with multiple degrees of freedom

2006· dissertation· W7133087659 on OpenAlexfundno aff
Krzysztof Skonieczny

Bibliographic record

VenueTSpace · 2006
Typedissertation
Language
FieldEngineering
TopicRobotic Locomotion and Control
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCogController (irrigation)TerrainTraction control systemObstacleMars Exploration Program
DOInot available

Abstract

fetched live from OpenAlex

The CoG controller presented here is particularly effective for step climbing rovers whose wheels all maintain contact with the ground at all times. Implementing the CoG controller in simulation showed dramatic improvements in step-climbing ability. The CoG controller was able to increase the height of obstacle surmountable from hard ground by a factor of 2 to 3 (to heights as much as 30 cm), and increase the height surmountable from soil by 30% to 40%. To improve step-climbing results on soil further, traction control would be needed in addition to the CoG controller. This work presents a centre-of-gravity (CoG) controller which aims to increase rover mobility over step obstacles. The controller is based on a new concept presented here, the Contact-Angle Adjusted Support Pattern (or CAASP). The CAASP utilizes wheel-ground contact angles to place the CoG such that weight acting on wheels encountering difficult local terrain is reduced.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.734
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.008
GPT teacher head0.240
Teacher spread0.232 · 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
Published2006
Admission routes1
Has abstractyes

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