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Record W2768543016 · doi:10.2507/daaam.scibook.2017.02

Main Trends and Perspective Solutions in Haptics

2017· book-chapter· en· W2768543016 on OpenAlexfundno aff
Sergei Kharuzin, О. М. Shmakov

Bibliographic record

VenueDAAAM international scientific book ... · 2017
Typebook-chapter
Languageen
FieldEngineering
TopicTeleoperation and Haptic Systems
Canadian institutionsnot available
FundersCanadian Institute for Advanced ResearchNorthwestern University
KeywordsPerspective (graphical)Haptic technologyComputer sciencePsychologySimulationArtificial intelligence

Abstract

fetched live from OpenAlex

The main objective of this manuscript is to provide comprehensive and highly-structured review of perspective research and commercial solutions in haptics. The subject of presented review is small-and human-sized haptic devices, emerged mainly in past ten years. This paper consists of three main sections. First section provides classification of haptic systems. We consider two classification criteria: device kinematics and the principle of interaction of device's mechanical parts and human-operator. Based on suggested classification four categories of haptic devices is presented: continuous devices, parallel devices, exoskeleton devices and combined devices. In second section a review of research and commercially available haptic devices developed for general and special usage is given. In final section general conclusions are summarized

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.903
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.251
Teacher spread0.224 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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