MétaCan
Menu
Back to cohort
Record W2552419051 · doi:10.1049/iet-cta.2016.0964

Modelling and control of a non‐holonomic pendulum‐driven spherical robot moving on an inclined plane: simulation and experimental results

2016· article· en· W2552419051 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

VenueIET Control Theory and Applications · 2016
Typearticle
Languageen
FieldEngineering
TopicControl and Dynamics of Mobile Robots
Canadian institutionsMcGill University
Fundersnot available
KeywordsHolonomicControl theory (sociology)PendulumInclined planeInverted pendulumComputer sciencePlane (geometry)Holonomic constraintsRobotControl engineeringControl (management)PhysicsMathematicsEngineeringClassical mechanicsArtificial intelligenceGeometryMechanical engineeringNonlinear system

Abstract

fetched live from OpenAlex

This study deals with mathematical modelling and motion control of a pendulum‐driven spherical robot (PDSR) moving on an inclined plane. Firstly, the model of a PDSR on an inclined plane is developed using a Lagrangian formulation. Afterwards, a PID controller is tuned to stabilise the robot on the inclined plane. A heuristic fuzzy controller and a PID controller are also designed to move the robot upward or downward the inclined plane and approach the target point. A switched control, i.e. a combination of the designed controllers, is finally suggested to control the motion of the robot on the inclined plane. Simulations are conducted to investigate and compare the performance of the proposed controllers. Experiments are also conducted for different cases to validate the simulations and also evaluate the control strategies via image processing.

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 score0.606
Threshold uncertainty score0.512

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 head0.008
GPT teacher head0.240
Teacher spread0.232 · 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