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Record W2115665918 · doi:10.1109/cca.2005.1507324

Development and analysis of a PC-based object-oriented real-time robotics controller

2005· article· en· W2115665918 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
TopicEmbedded Systems Design Techniques
Canadian institutionsUniversity of Waterloo
FundersPromotion and Mutual Aid Corporation for Private Schools of Japan
KeywordsPMACController (irrigation)Computer scienceModular designSoftwareEmbedded systemRobotRoboticsControl systemControl engineeringReal-time computingOperating systemEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

Real-time controllers have traditionally used computer hardware systems that require expertise in hardware knowledge before the controller can be effectively implemented. This paper introduces a single-processor PC-based real-time motion controller developed using QNX 6.0 Neutrino operating system. Using the advantages of a distributed software system and an object-oriented architecture, the developed controller can be easily modified to suit any application. Common real-time software development issues such as timing, data logging and hardware management are discussed in detail, along with straight-forward solutions to address these problems in QNX. The entire system is implemented on a 2D cable-based high-speed pick-and-place robot, and the controller performance is compared to Delta Tau PMAC, a commercial controller. Developing a PC-based modular real-time controller allows researchers to easily implement their control algorithms at a reasonable cost

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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.888
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.013
GPT teacher head0.248
Teacher spread0.235 · 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

Citations3
Published2005
Admission routes1
Has abstractyes

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