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Record W2137813133 · doi:10.1109/cira.2001.1013184

Tracking control of a mobile robot with kinematic and dynamic constraints

2002· article· en· W2137813133 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
TopicControl and Dynamics of Mobile Robots
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsKinematicsControl theory (sociology)Nonholonomic systemMobile robotController (irrigation)AccelerationComputer scienceLyapunov functionLyapunov stabilityRobot kinematicsTracking (education)Control engineeringBounded functionRobotEngineeringMathematicsArtificial intelligenceControl (management)Nonlinear system

Abstract

fetched live from OpenAlex

A path tracking control method with both kinematic and dynamic constraints is proposed for a nonholonomic mobile robot. By incorporating a biologically inspired shunting model into the conventional bang-bang control technique, the proposed tracking controller is capable of generating real-time acceleration commands that can produce smooth, continuous robot velocities, and drive the mobile robot to track the desired trajectories. In the controller design, the accelerations are bounded and the nonholonomic kinematic constraints are satisfied. The stability of the control system and the convergence of tracking errors to zero are proved using a Lyapunov stability theory. The effectiveness of the proposed tracking controller is demonstrated by simulation studies.

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: Empirical · Consensus signal: none
Teacher disagreement score0.608
Threshold uncertainty score0.413

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 head0.004
GPT teacher head0.173
Teacher spread0.169 · 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
Published2002
Admission routes1
Has abstractyes

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