MétaCan
Menu
Back to cohort
Record W2337716412 · doi:10.1177/0954406216633958

Stiffness analysis, motion design and reconfiguration study of parallel mechanisms and manipulators

2016· article· en· W2337716412 on OpenAlexaboutno aff
Jian S. Dai, Clément Gosselin, Tian Huang

Bibliographic record

VenueProceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · 2016
Typearticle
Languageen
FieldEngineering
TopicRobotic Mechanisms and Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsControl reconfigurationStiffnessComputer scienceMotion (physics)Parallel manipulatorStructural engineeringEngineeringArtificial intelligenceRobotEmbedded system

Abstract

fetched live from OpenAlex

Parallel mechanisms, with their unique form of integration of mechanism loops and properties, attracted significant interest in the past 40 years. After a few decades of steady growth, the study of parallel mechanisms came to a crossroad at the beginning of the 21st century, when a new forum was needed to identify and address the fundamental issues and to open a discussion on future research directions for parallel mechanisms and manipulators. At that moment, in 2002, Clement Gosselin and Imme Ebert-Uphoff initiated the first of a workshop series on parallel mechanisms and manipulators at Laval University, in Quebec City, Canada. Experts from around the world attended this international forum during which open discussions on the fundamental issues and future research directions took place. With more than 100 participants, this workshop was a great success and raised a global attention which gave rise to a renewed interest on parallel mechanisms. Six years later, in 2008, Francois Pierrot, Nicolas Andreff, Olivier Company, Marc Gouttefarde and Sebastien Krut organized the second edition of this workshop series in Montpellier, France, which gave the opportunity to the participants to visit the LIRMM and see several successful prototypes of parallel mechanisms. The success of the first two workshops led to the third international workshop on fundamental issues and future research directions for parallel mechanisms and manipulators, which was held at Tianjin University, in Tianjin, China in 2014, organized by Tian Huang and Jian Dai as a platform for international experts to share common interests and discuss future research directions. The workshop brought together over 90 participants from 20 regions and countries with high-quality presentations and passionate discussions. This special issue includes 13 papers that were presented at the 2014 workshop on the theoretical development of parallel mechanisms and manipulators in parallel to the special issue on applications of parallel mechanisms which appears in the journal Meccanica. This special issue presents studies related to three main areas of research, namely stiffness, motion design and reconfiguration of parallel mechanisms and manipulators. Since stiffness is advocated as the main advantage of a parallel mechanism, its study has attracted the attention of researchers and various methods, integrated models, and designs have been proposed. Papers in this topic include Jacobian-based stiffness analysis based on the force equilibrium by Hoevenaars, Lambert and Herder, and stiffness evaluation based on the elasto-dynamic model by Zhao et al. The study of stiffness leads to the development of compliant parallel mechanisms by Hao, Li and Kavanagh that gives rise to the ingenious design of this monolithic type of parallel mechanisms. Stiffness analysis leads to the study of constraint and motion of parallel mechanisms. This could be seen in the continuous motion of a 3-CRC parallel mechanism presented by Chen et al., with the analysis of mirror symmetric triangles, and also in the instantaneous motion and constraint analysis presented by Liu, Zhao and Feng. The motion study leads to a revelation of transmission forces by Xie, Liu and Wang with a study of orientation capability and to a calibration of the Delta robot using distance measurements by Bai et al. with an error compensation strategy that reduces the source errors. Motion design is a challenging issue particularly with redundantly actuated parallel manipulators that raises an issue on homogenization of end-effector forces as revealed by Corves et al, leading to generating a design process and a linear mapping from the actuator space into the task space. As motions are dual to constraints, Muller and Shai presents a systematic method that transforms one mechanical system into another, with the duality concept based on the dual of a constraint graph that is the topological graph defining the kinematics, leading to a concept of

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)0.002
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.627
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.216
Teacher spread0.200 · 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
GenreEmpirical

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

Citations5
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering ScienceSame topicRobotic Mechanisms and DynamicsFrench-language works237,207