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Record W2152987172 · doi:10.1109/robio.2010.5723490

Performance evaluation of three schemes applied to bilateral control of a hydraulic actuator interacting with deformable environments

2010· article· en· W2152987172 on OpenAlexaff
Masoumeh Esfandiari, Kourosh Zareinia, Wai-keung Fung, Nariman Sepehri

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsTeleoperationHaptic technologyActuatorMaster/slaveControl theory (sociology)Computer scienceTracking errorSimulationPosition trackingStiffnessRobotControl engineeringEngineeringControl (management)Artificial intelligence

Abstract

fetched live from OpenAlex

In this paper, the effect of deformable environment to the performance of three bilateral teleoperation control schemes for hydraulic actuators are investigated through dynamic simulation. The considered schemes are Force Reflection, Position Error and Lyapunov feedback controllers. Two type of environments are considered, first is spring model and the second one is environment which is described by the Hertz contact model. Using a teleoperation platform, the master device is a PHANToM haptic device and the slave manipulator is a simulated hydraulic actuator. The master and slave are connected by the on-campus Intranet network setting with small and fairly constant communication delay. The stability and transparency of the overall system are evaluated according to the following criteria: (i) position tracking error of the slave manipulator; (ii) force tracking error of the master haptic device; and (iii) perceived stiffness of the environment at the master site.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.277

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 head0.011
GPT teacher head0.209
Teacher spread0.198 · 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 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

Citations0
Published2010
Admission routes1
Has abstractyes

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