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Record W2130637649 · doi:10.1163/156855302760121918

Development of a high-performance direct-drive joint

2002· article· en· W2130637649 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

VenueAdvanced Robotics · 2002
Typearticle
Languageen
FieldEngineering
TopicRobotic Mechanisms and Dynamics
Canadian institutionsCanadian Space Agency
Fundersnot available
KeywordsTorqueControl engineeringHarmonic driveEngineeringTorque motorDynamometerRoboticsControl theory (sociology)Direct torque controlTestbedComputer scienceRobotAutomotive engineeringArtificial intelligenceControl (management)Induction motorMechanical engineeringVoltage

Abstract

fetched live from OpenAlex

Abstract This paper reports on advances in the design and development of a high-performance direct-drive joint for robotics and automation. The joint integrates a motor, a torque sensor and joint bearings. The key design aspects of the motor, such as the armature, motor housing, bearing arrangement and sensors, are detailed. The description of a dynamometer testbed with a hydraulic active load used for motor calibration and to test the dynamic behavior of the motor and its entire control system is also given. We also present a number of advanced implementations in control, motor torque control and motion control using positive joint torque feedback. Experimental results illustrate outstanding performance regarding thermal response, torque ripple, reference trajectory tracking, torque disturbance rejection and joint stiffness. Keywords: direct drive motorrobot jointactuatormotion controlmechatronics

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 score0.301
Threshold uncertainty score0.605

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 head0.014
GPT teacher head0.188
Teacher spread0.174 · 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