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Record W2117551464 · doi:10.1109/icccn.2007.4318004

A virtual decomposition control based communication network for modular robots applications

2007· article· en· W2117551464 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 designSelf-reconfiguring modular robotRobotMechatronicsComputer scienceKey (lock)Frame (networking)DecompositionControl engineeringDistributed computingEmbedded systemRobot controlEngineeringMobile robotArtificial intelligenceComputer network

Abstract

fetched live from OpenAlex

Modular (re-configurable) robots have been studied and developed over two decades. Compared to common industrial robot manipulators, modular robots usually end up showing relatively poorer control performance. This is mainly because most of modular robots' designs typically concentrate on mechatronic interfaces, packaging and re-configurable features, leaving little space for dynamics and control considerations. In our current research frame, we are looking at "virtual decomposition control" (VDC) to significantly improve modular robots dynamics and control performance. A key element to successful implementation of the related algorithms has to do with the inter-modules communication link capabilities. Presented here is the first 2 DOF prototype built to demonstrate the feasibility of implementing VDC on a real system, including the Spacewire Bus based communication protocol used.

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: Methods · Consensus signal: none
Teacher disagreement score0.908
Threshold uncertainty score0.411

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 head0.010
GPT teacher head0.255
Teacher spread0.245 · 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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