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Record W2542542810 · doi:10.1109/iecon.1991.239158

An innovative robotic gripper for grasping and handling research

2002· article· en· W2542542810 on OpenAlexaff
Michael A. Saliba, C.W. de Silva

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRobot Manipulation and Learning
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsActuatorComputer scienceGrippersDegrees of freedom (physics and chemistry)Robot end effectorPlanarArtificial intelligenceRoboticsRobotic armVariety (cybernetics)RobotControl engineeringEngineeringMechanical engineeringComputer graphics (images)

Abstract

fetched live from OpenAlex

A planar robotic gripper suitable for research in the grasping and handling of a wide variety of objects has been developed. The design has two fingers, four links, and two actuators but can be directly extended to more links while keeping the number of actuators unchanged. This robotic end effector exhibits two distinctive features. First, it utilizes a fewer number of actuators than it has degrees of freedom, thus providing quantifiable savings in weight, size, complexity and cost. Second, it is capable of conforming to different shapes and sizes of objects through autonomous, sequential switching of the actuator drives between links. The design, construction and research applications of the hand are described. Experimental results with the robotic hand show close agreement with computer simulations.>

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.167
GPT teacher head0.351
Teacher spread0.185 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations9
Published2002
Admission routes1
Has abstractyes

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