MétaCan
Menu
Back to cohort
Record W2123129415 · doi:10.1109/robot.1993.292157

A system architecture for a mobile robot based on activities and a blackboard control unit

2002· article· en· W2123129415 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
FieldComputer Science
TopicRobotic Path Planning Algorithms
Canadian institutionsNational Research Council CanadaCarleton University
Fundersnot available
KeywordsBlackboard (design pattern)Blackboard systemArchitectureComputer scienceMobile robotImplementationFunction (biology)RobotControl unitSystems architectureEmbedded systemArtificial intelligenceHuman–computer interactionComputer architectureSoftware engineeringOperating system

Abstract

fetched live from OpenAlex

The design and implementation of a system architecture for control of a mobile robot is presented based on the notion of activities that are supervised by a blackboard system. An activity is defined as an organizational unit which exhibits a basic skill. Six behavior and five design requirements are defined and are used in evaluating the performance of the system architecture. It is the author's contention that if a mobile robot is to function autonomously in an unknown environment, it must meet these requirements. Using these requirements the activity-based architecture presented can be compared to other existing systems. Actual implementations of two activities (a passageway and channel activity) are used to validate the performance of this architecture.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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: Methods · Consensus signal: none
Teacher disagreement score0.736
Threshold uncertainty score0.528

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 head0.018
GPT teacher head0.226
Teacher spread0.208 · 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

Citations35
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicRobotic Path Planning AlgorithmsFrench-language works237,207