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Record W2056679865 · doi:10.1108/01439910310464140

New AI and service robots

2003· article· en· W2056679865 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

VenueIndustrial Robot the international journal of robotics research and application · 2003
Typearticle
Languageen
FieldEngineering
TopicModular Robots and Swarm Intelligence
Canadian institutionsOptiwave Systems (Canada)
Fundersnot available
KeywordsAdaptabilityRobotAgile software developmentRoboticsService (business)Computer scienceArtificial intelligenceSoftwareSystems engineeringHuman–computer interactionControl engineeringSoftware engineeringEngineeringOperating systemEcology

Abstract

fetched live from OpenAlex

A new breed of robotics more suitable for service applications than manufacturing is appearing. It focuses on autonomous operation rather than control, and is characterized by the flexible, robust, and agile nature of robots' motions. Some such robots, namely the ones called Behavior‐based robots and those robots that operate under the New AI paradigm, share principles of operation with biological systems such as animals and insects. They excel in their mobility and adaptability when allowed to operate “untethered” in the dynamic and highly non‐linear environment of the real world. Processes similar to evolution of living systems are sometimes applied to evolve the software (and occasionally hardware) of these bio‐robots to further increase their adaptability in the operational environment. Some early applications are presented.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.983
Threshold uncertainty score0.303

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.093
GPT teacher head0.345
Teacher spread0.252 · 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