MétaCan
Menu
Back to cohort
Record W2156749665 · doi:10.1109/roman.2005.1513775

Modularity and integration in the design of a socially interactive robot

2006· article· en· W2156749665 on OpenAlex
François Michaud, Yannick Brosseau, Carle Côté, Dominic Létourneau, Pierre Moisan, A. Ponchon, Clément Raïevsky, Jean-Marc Valin, E. Beaudryy, F. Kabanza

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicSocial Robot Interaction and HRI
Canadian institutionsUniversité de Sherbrooke
FundersCanada Research Chairs
KeywordsHuman–computer interactionRobotComputer scienceModularity (biology)Mobile robotContext (archaeology)ModalitiesKey (lock)Task (project management)Human–robot interactionArtificial intelligenceMobile robot navigationRobot controlEngineeringSystems engineeringComputer security

Abstract

fetched live from OpenAlex

Designing robots that are capable of interacting with humans in real life settings is a challenging task. One key issue is the integration of multiple modalities (e.g., mobility, physical structure, navigation, vision, audition, dialogue, reasoning) into a coherent framework. Taking the AAAI mobile robot challenge (making a robot attend the national conference on artificial intelligence) as the experimental context, we are currently addressing hardware, software and computation integration issues involved in designing a robot capable of sophisticated interaction with humans. This paper reports on our design solutions and the current status of the work, along with the potential impacts this design on human-robot interaction research.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.849
Threshold uncertainty score0.642

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 head0.055
GPT teacher head0.370
Teacher spread0.315 · 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

Quick stats

Citations28
Published2006
Admission routes2
Has abstractyes

Explore more

Same topicSocial Robot Interaction and HRIFrench-language works237,207