MétaCan
Menu
Back to cohort
Record W2325659056 · doi:10.7210/jrsj.23.886

Design and Development of Active Cord Mechanism "ACM-R3" and its 3-dimensional Locomotion Control

2005· article· en· W2325659056 on OpenAlexfundno aff
Makoto Mori, Hiroya Yamada, Shigeo Hirose

Bibliographic record

VenueJournal of the Robotics Society of Japan · 2005
Typearticle
Languageen
FieldEngineering
TopicSoft Robotics and Applications
Canadian institutionsnot available
FundersCanadian Institute for Advanced Research
KeywordsMechanism (biology)TorquePropulsionComputer scienceNode (physics)Control theory (sociology)Control (management)SimulationEngineeringPhysicsArtificial intelligenceAerospace engineeringStructural engineering

Abstract

fetched live from OpenAlex

This research considers the mechanism design of the“Active Cord Mechanism (ACM) ”, which is a long and slender snake-type functional object that can perform three-dimensional movement. We designed a three dimensional ACM machine named ACM-R3 that can produce large output torque in spite of its small dimensions and light weight, and considered its three-dimensional steering control of two-dimensional serpentine locomotion. The meaning of steering in this research is the route change around the circumference of yaw, pitch and roll axes. Furthermore, novel propulsion forms, such as“Serpentine Locomotion with Lateral-Rolling” (whose control method is based on the steering of the roll axis) and“Sinus-Lifting Locomotion” (which is a special form of pitch axis steering) are examined. The latest model ACM-R3 was used to actually implement, for the first time ever, these new propulsion methods, and also to examine the motion ability experiemntally by measuring the torque produced at each node.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.233
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations31
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Robotics Society of JapanSame topicSoft Robotics and ApplicationsFrench-language works237,207