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Record W2014429323 · doi:10.1002/rob.1022

Robust trajectory control in the workspace of a class of flexible robots

2001· article· en· W2014429323 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

VenueJournal of Robotic Systems · 2001
Typearticle
Languageen
FieldEngineering
TopicDynamics and Control of Mechanical Systems
Canadian institutionsPolytechnique MontréalÉcole de Technologie Supérieure
Fundersnot available
KeywordsWorkspaceControl theory (sociology)Robustness (evolution)KinematicsRobotComputer scienceTransformation (genetics)Controller (irrigation)Control engineeringArtificial intelligenceEngineeringControl (management)

Abstract

fetched live from OpenAlex

Abstract This paper presents a robust indirect adaptive controller for a class of robots which have a flexible beam as last link. Since the relation between the joint space and the workspace depends on both the kinematics and the dynamics, a virtual joint space is defined so as to be related kinematically to the workspace. In fact, the transformation is defined from the virtual joint space to the joint and deformation spaces. Since the robot is a non‐minimum‐phase system in the virtual joint space, the transformation is obtained, in‐line by the iterative use of the causal–anticausal approach. Based on that transformation, a robust adaptive controller can be designed to ensure robust and fast convergence of the tracking error in the joint, deformation and virtual joint spaces. The controller thus obtained is simulated for a manipulator having one rigid and one flexible link. The simulation results demonstrate the good performances and the robustness of the system. © 2001 John Wiley & Sons, Inc.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.907
Threshold uncertainty score0.412

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 head0.018
GPT teacher head0.207
Teacher spread0.189 · 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