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Record W94728611

HOMER: Human Oriented MEssenger Robot

2003· article· en· W94728611 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicRobotic Path Planning Algorithms
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHuman–robot interactionComputer scienceRobotArtificial intelligenceMobile robotGestureComputer visionMobile robot navigationObstacle avoidanceHuman–computer interactionTask (project management)Social robotPlannerModular designHidden Markov modelObstacleScalabilityRobot controlEngineeringGeography
DOInot available

Abstract

fetched live from OpenAlex

HOMER,the Human Oriented MEssenger Robot, is a stereovision guided mobile robot for performing human-interactive tasks. Our design concept for HOMER combines mobile robotic techniques for navigation, localization, map building and obstacle avoidance with human interaction capacities for person recognition, speech, facial expression and gesture recognition, and human dynamics modeling. HOMER’s capabilities are modular and independent, and are integrated in aconsistent and scalable fashion under the umbrella of adecision-theoretic planner, which models the uncertain effects of the robot’s actions. The planner uses factored Markov decision processes, allowing for simple specification of tasks, goals and state spaces. We demonstrate HOMER performing amessagedelivery task, which is rich and complex both in robot navigation and in human interaction.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.935
Threshold uncertainty score0.450

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 science0.0010.000
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 head0.018
GPT teacher head0.260
Teacher spread0.242 · 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

Citations8
Published2003
Admission routes1
Has abstractyes

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