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Record W2146226283 · doi:10.1109/iros.2004.1389659

Situated robot design with prioritized constraints

2005· article· en· W2146226283 on OpenAlexafffund
Pınar Muyan‐Özçelik, Alan K. Mackworth

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicRobotic Path Planning Algorithms
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsSituatedRobotComputer scienceConstraint (computer-aided design)Modular designMobile robotHuman–computer interactionControl engineeringArtificial intelligenceProgramming languageEngineering

Abstract

fetched live from OpenAlex

The constraint-based agent (CBA) framework with prioritized constraints is a simple and effective methodology for designing and building situated robots. This methodology can be seen as a formal development of the subsumption approach. It prevents ad hoc layering of behaviors and supports modular development of the system. A situated robot called Ainia that repeatedly finds, tracks, chases, and kicks a ball is presented as an illustrative case study of this design methodology. Ainia is first modeled, simulated, and animated with the constraint nets in Java (CNJ) tool. Then, a prioritized constraint-based controller of the simulated Ainia is used to control the physical robot in the real world. The results show that the behaviors of the physical robot satisfy the requirements specification. Hence, this study provides evidence that the formal CBA framework with prioritized constraints is an effective approach for synthesizing situated robot controllers. In addition, it supports the claim that CNJ is an effective tool for designing and building situated robots operating in the real world.

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: Methods
Teacher disagreement score0.746
Threshold uncertainty score0.456

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 head0.024
GPT teacher head0.236
Teacher spread0.212 · 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
Published2005
Admission routes2
Has abstractyes

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