MétaCan
Menu
Back to cohort
Record W2167813323 · doi:10.1109/tsmcb.2010.2073702

Experimental Analysis of Mobile-Robot Teleoperation via Shared Impedance Control

2010· article· en· W2167813323 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

VenueIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2010
Typearticle
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsToronto Metropolitan University
FundersDivision of Mathematical SciencesTechnische Universität München
KeywordsTeleoperationReflection (computer programming)Obstacle avoidanceComputer scienceController (irrigation)SimulationElectrical impedanceObstacleTeleroboticsRobotHaptic technologyMobile robotMATLABFuzzy logicControl theory (sociology)EngineeringControl (management)Artificial intelligence

Abstract

fetched live from OpenAlex

In this paper, Internet-based teleoperation of mobile robots for obstacle avoidance is analyzed. A shared impedance-control scheme is presented, and the results of an experimental study for the evaluation of the effects of different teleoperation parameters are reported. In the experimental study, the effects of time delay, operator training, image-display alternatives (virtual model versus real images), viewpoint, and force-reflection method were studied. For this purpose, several hypotheses were formulated and tested through the experiments using the introduced quantitative and qualitative measures. A fuzzy force-reflection controller is also proposed as an alternative force-reflection technique, and its performance is compared with a conventional proportional-derivative-type force-reflection method. The experimental scheme was implemented using MATLAB XPC Target and Simulink. The results could serve as guidelines in the design of teleoperation systems for obstacle avoidance and could also provide directions for further investigations.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.009
GPT teacher head0.226
Teacher spread0.216 · 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