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Record W1610099142

HOPPING ROBOT FOR PLANETARY EXPLORATION

2005· article· en· W1610099142 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueInternational Symposium on Artificial Intelligence · 2005
Typearticle
Languageen
FieldEngineering
TopicRobotic Locomotion and Control
Canadian institutionsnot available
Fundersnot available
KeywordsMars Exploration ProgramPlanetary explorationRobotMiniaturizationAerospace engineeringExploration of MarsComputer scienceSpace explorationMechanism (biology)ElectronicsSimulationSystems engineeringAstrobiologyEngineeringElectrical engineeringArtificial intelligencePhysics
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Space Agency is investigating technologies for lowering the cost of planetary exploration missions through miniaturization of landed platforms. One of the consequences of miniaturization is that traditional locomotion schemes such as wheels are not appropriate any more. To a small rover, even the very small obstacles become insurmountable. Alternate locomotion schemes must then be investigated to overcome this problem and enable miniaturized missions. Another consequence of miniaturization is that electric energy obtained through solar panels becomes very scarce. In light of these constraints, a hopping robot for Mars exploration is being designed and prototyped. A mockup of the robot was built in 2004 to demonstrate the feasibility of conducting useful science in such a small package. The peculiarity of the CSA design is that it uses diurnal temperature variations to accumulate the mechanical energy necessary for hopping. The hopping mechanism is based on a novel cylindrical scissor mechanism. This paper presents the results of trade study on miniaturisation of Mars landers, introduces the main requirements to be met by such a system and describes the concept of operation of the hopping robot addressing some of the key issues with planetary landed missions of this size.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.851

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)0.0000.001

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 head0.044
GPT teacher head0.274
Teacher spread0.230 · 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