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Record W2095225531 · doi:10.1080/09511920410001719811

Design optimization and remote manipulation of a tripod

2004· article· en· W2095225531 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

VenueInternational Journal of Computer Integrated Manufacturing · 2004
Typearticle
Languageen
FieldEngineering
TopicRobotic Mechanisms and Dynamics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTripod (photography)KinematicsControllabilityAutomationComputer scienceControl engineeringMachine toolEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

A tripod is one type of parallel kinematic machine having three degrees of freedom. The sliding-leg tripod presented in this paper is designed as a programmable add-on device for manufacturing and shop floor automation. It can be used as a toolhead for machine tools, or as a work stage for coordinate measuring machines. Its purpose is to enhance the capability of a machine by providing it with a more flexible range of motion and controllability from any distance. As decentralization of manufacturing grows, shop floor equipment like this is required to become networkable and remotely accessible. This paper focuses on two separate issues: Tripod design optimization and its remote manipulation, including real-time monitoring and remote control of the tripod. A tripod prototype and a web-based software system are developed to verify the feasibility of the approach as well as the tripod accessibility in a distributed environment. It is shown that the proposed approach can improve the tripod design and its controllability. A large application potential of this approach is also predicted.

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: Methods
Teacher disagreement score0.348
Threshold uncertainty score0.362

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 head0.013
GPT teacher head0.216
Teacher spread0.202 · 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