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Record W4242295982 · doi:10.1109/hri.2010.5453172

FusionBot: A barista robot: Fusionbot serving coffees to visitors during technology exhibition event

2010· article· en· W4242295982 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRobotics and Automated Systems
Canadian institutionsnot available
Fundersnot available
KeywordsVisitor patternTask (project management)Computer scienceEvent (particle physics)RobotExhibitionService (business)PerceptionQuarter (Canadian coin)Quality (philosophy)MultimediaAdvertisingPsychologyArtificial intelligenceMarketingEngineeringBusinessVisual artsGeography

Abstract

fetched live from OpenAlex

Summary form of only given: This video shows a service robot named FusionBot autonomously serving coffees to visitors on their request, which occurred during two days-long experiment in TechFest 2008 event. The coffee serving task involves taking coffee order from a visitor, identifying a cup and smart coffee machine, moving towards the coffee machine, communicating with the coffee machine and fetching the coffee cup to the visitor. The main purpose of this experiment is to explore and demonstrate the utility of an interactive service robot in smart home environment, thereby improving the quality of human life. Before conducting the experiments, visitors were given general procedural instructions and simple introduction on how the FusionBot works. Visitors then performed experiment tasks, i.e., ordering a cup of coffee. Thereafter, the visitors were asked to fill out the satisfaction questionnaires to find out their reaction and perception on the FusionBot. Of just over 100 survey questionnaires handed out, sixty eight (68) valid responses (i.e. 68%) were received. Over all, with regards to the FusionBot task satisfaction, more than half of respondents were satisfied with what the FusionBot can do. Nearly one quarter of the respondents indicated that it was not easy to communicate with the FusionBot. This could be due to occurrence of various background noises, which were falsely picked up by the FusionBot as speech input from the visitor. Similarly, less than one quarter indicated that it was not easy to learn how to use the FusionBot. This could be due to the not knowing what to do with the FusionBot and not knowing what the FusionBot does. The experiment was successful in two main dimensions; (1) the robot demonstrated the ability to interact with visitors and perform challenging real-world task autonomously, and (2) It provided some evidence towards the feasibility of using autonomous service robot and smart coffee machine to serve drink in a reception/home or acting as a host in an organization. While preliminary, the experiment also suggests that while developing a service robot; (1) static appearance is very important, (2) requires robust speech recognition and vision understanding, and finally (3) requires comprehensive training on speech and vision with respective data.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.385
Threshold uncertainty score0.869

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 head0.002
GPT teacher head0.193
Teacher spread0.191 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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