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Record W2057585275 · doi:10.1115/detc2008-49632

Mechanical Design of the Jasper Mobile Manipulator

2008· article· en· W2057585275 on OpenAlexafffund
Darrin Willis, Scott Nokleby, Remon Pop‐Iliev

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicControl and Dynamics of Mobile Robots
Canadian institutionsOntario Tech University
FundersUniversity of Ontario Institute of Technology
KeywordsMobile manipulatorParallelogramCasterMobile robotBase (topology)Parallel manipulatorManipulator (device)EngineeringComputer scienceCoupling (piping)RobotSimulationControl engineeringControl theory (sociology)Mechanical engineeringArtificial intelligenceMathematics

Abstract

fetched live from OpenAlex

This paper describes the mechanical design and analysis of a mobile-manipulator system comprised of a robot manipulator and a mobile base. The combination of the two is known as a mobile manipulator and combines the maneuverability of the mobile base with the accuracy of the robot manipulator. The mechanical design of a new mobile-manipulator system with the robot manipulator mounted on the front is discussed. The device features an innovative 2-DOF (degree-of-freedom) parallelogram coupling device that allows the base of the robot manipulator to translate vertically and roll longitudinally relative to the mobile base. The coupling device has dampers to reduce the vibrations caused by the motion of the mobile base on the robot manipulator and vice versa. The design features the use of omni-wheels that eliminate the problems inherent with traditional caster wheels.

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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.014
GPT teacher head0.184
Teacher spread0.170 · 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

Citations2
Published2008
Admission routes2
Has abstractyes

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