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Record W2138094315 · doi:10.1109/icma.2007.4303508

Modular Robot Manipulators with Preloadable Modules

2007· article· en· W2138094315 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicModular Robots and Swarm Intelligence
Canadian institutionsCanadian Space Agency
Fundersnot available
KeywordsModular designPayload (computing)RobotFlexibility (engineering)Computer scienceControl engineeringSelf-reconfiguring modular robotTorqueMechanism (biology)Embedded systemRobot controlDistributed computingEngineeringMobile robotArtificial intelligence

Abstract

fetched live from OpenAlex

While versatility and flexibility make modular and reconfigurable robots particularly suitable for applications in unstructured environments, the use of embedded electronics and local computers imposes an inherent limitation on control performance and payload capability. The virtual decomposition control (VDC) supported with a high-speed communication system has been suggested to effectively handle the dynamics and control issues aimed at allowing modular and reconfigurable robots to have the same control performance as integrated robots. In this paper, the payload capability issue is addressed by using a preloaded torsional spring to counter-balance static torques caused by gravity. Brief concept on spring design is presented, together with a review on system structure, communication mechanism, and VDC algorithms.

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: Empirical · Consensus signal: none
Teacher disagreement score0.778
Threshold uncertainty score0.481

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)0.0000.000

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 head0.189
Teacher spread0.181 · 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

Quick stats

Citations9
Published2007
Admission routes1
Has abstractyes

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