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Record W2327239092 · doi:10.2514/6.2007-6320

Intelligent Tracking Control of a Free-Flying Flexible Space Robot Manipulator

2007· article· en· W2327239092 on OpenAlex
Anthony R. Green, Jurek Z. Sąsiadek

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

VenueAIAA Guidance, Navigation and Control Conference and Exhibit · 2007
Typearticle
Languageen
FieldEngineering
TopicSpace Satellite Systems and Control
Canadian institutionsCarleton University
Fundersnot available
KeywordsTracking (education)Computer scienceRobotManipulator (device)Space (punctuation)Robot controlControl engineeringFree spaceControl (management)Control theory (sociology)Artificial intelligenceMobile robotEngineeringPhysics

Abstract

fetched live from OpenAlex

The end effector of a free-flying flexible space robot is tracked along a planar trajectory using inverse flexible dynamics control (IFDC) and fuzzy logic system adaptive control (FLSAC) strategies for comparison. The robot is required to track its end effector between two points in two-dimensional space while maintaining the orbiting rigid spacecraft at a fixed position in space. Simulation results show the IFDC strategy produces a trajectory that fails to reach its commanded final position by a large margin in both coordinates. The FLSAC strategy produces a more accurate trajectory closer to the commanded final position in both coordinates but at a greater computational time burden. Sporadic high magnitude driving torque “spikes” are experienced similar to the “bursting phenomenon” encountered with adaptive control systems. Spacecraft reactive translation and attitude disturbance is minimal in each case but slightly greater for IFDC. Notation

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.704
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.016
GPT teacher head0.237
Teacher spread0.220 · 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