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Record W2135953026 · doi:10.1109/icsmc.1995.538310

Jacobian transpose control: a foundation for multiagent manipulator control

2002· article· en· W2135953026 on OpenAlexaff
Simon P. Monckton, D.B. Cherchas

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicRobotic Path Planning Algorithms
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTransposeJacobian matrix and determinantComputer scienceRepresentation (politics)Simple (philosophy)RobotMulti-agent systemControl (management)Control theory (sociology)Artificial intelligenceControl engineeringMathematicsEngineeringEigenvalues and eigenvectorsApplied mathematics

Abstract

fetched live from OpenAlex

This paper has distilled emerging trends in practical real time robot architectures into two agent hypotheses and outlined a simple agent model to specify these systems. This hypothetical structure has been applied to manipulation robots through Jacobian transpose control (JTC). Under the assumption of interagent communication or sensing, JTC has been shown to be decentralizable, while possessing a single global goal representation. Further, conditions have been discussed that influence the simultaneous asymptotic stability of both local and global goals. Finally, the results of a multiprocess implementation of JTC was discussed in a preliminary demonstration of multiagent control.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.874
Threshold uncertainty score0.589

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 science0.0010.000
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 head0.037
GPT teacher head0.244
Teacher spread0.207 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations2
Published2002
Admission routes1
Has abstractyes

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