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Record W1982104412 · doi:10.1115/imece2011-65310

On a Decoupled Integrated Design Approach to Robotic Mechanisms

2011· article· en· W1982104412 on OpenAlexaff
Zhihong Sun, Dong He, Bing Zhang, Wenjun Zhang

Bibliographic record

VenueVolume 7: Dynamic Systems and Control; Mechatronics and Intelligent Machines, Parts A and B · 2011
Typearticle
Languageen
FieldEngineering
TopicRobotic Mechanisms and Dynamics
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAxiomatic designComputer scienceProcess (computing)Design processRelation (database)Mechanism (biology)Function (biology)Control engineeringMechanism designPath (computing)Control theory (sociology)Engineering design processMathematicsEngineeringControl (management)Work in processArtificial intelligence

Abstract

fetched live from OpenAlex

In this paper, we propose a new design process which is called decoupled integrated design process for robotic mechanisms or mechanisms with consideration of their multi-functions and constraints. The example of the functions includes path generation, function generation and rigid body guidance. The example of the constraints includes minimum negative side effects to the environment the mechanism interacts. The proposed design process is a decoupled one, inspired by axiomatic design theory. In particular, the first step of the design process is to analyze the design requirement and design parameter relation, which can be represented by a correspondence matrix. When the correspondence matrix is a triangular one, the corresponding design problem is called a decoupled design problem. Subsequently, we propose a decoupled integrated design process which is applied to a decoupled problem. Throughout the paper, we take a 2-DOF five-bar mechanism as an example; yet the approach is applicable to any kind of dynamic systems.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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 head0.014
GPT teacher head0.191
Teacher spread0.177 · 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.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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Same venueVolume 7: Dynamic Systems and Control; Mechatronics and Intelligent Machines, Parts A and BSame topicRobotic Mechanisms and DynamicsFrench-language works237,207