MétaCan
Menu
Back to cohort

1A1-E01 Experiment of intelligent wheelchair "TAO Aicle" at the EXPO 2005 AICHI JAPAN

2006· article· en· W2715337786 on OpenAlexaff
Tsutomu Hatase, Yoshimi Wakamatsu, Hideki Nishimura, H Yamamoto, Koji Toda, Shigeki Goto, Osamu Matsumoto, K. Komoriya

Bibliographic record

VenueThe Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2006
Typearticle
Languageen
FieldComputer Science
TopicGaze Tracking and Assistive Technology
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsCompassWheelchairRobotGlobal Positioning SystemComputer sciencePosition (finance)SimulationReal-time computingEmbedded systemArtificial intelligenceTelecommunicationsGeographyWorld Wide WebBusinessCartography

Abstract

fetched live from OpenAlex

In EXPO 2005 AICHI JAPAN, we performed an experiment using intelligent wheelchair robots that were developed in the NEDO Project for the Practical Application of Next-Generation Robots. These robots can travel to destinations autonomously in the demonstration course. In order to travel autonomously, robots need to know their own position and direction accurately. We developed an integrated positioning unit which enables accurate position and direction determination using GPS, RFID and directional compass. This report introduces an outline of the integrated positioning unit and presents the results of the demonstration experiment which was performed at the EXPO 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 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: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.017
GPT teacher head0.239
Teacher spread0.222 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueThe Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)Same topicGaze Tracking and Assistive TechnologyFrench-language works237,207