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Record W3165252354

Biped Robot Driven By Single Actuator

2016· article· en· W3165252354 on OpenAlexvenueno aff

Bibliographic record

VenueInternational Journal of Robotics and Automation · 2016
Typearticle
Languageen
FieldEngineering
TopicModular Robots and Swarm Intelligence
Canadian institutionsnot available
Fundersnot available
KeywordsActuatorRobotHumanoid robotComputer scienceControl theory (sociology)Joint (building)Control engineeringControl (management)EngineeringArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

Humanoid robots have always been a fascination for the human race. The biped robots are the most primitive form of humanoids which can exist. A biped robot can closely replicate the walking cycle of the humans. However to produce this cycle and to maintain its walk, the conventional biped robots utilize a number of actuators. The conventional styles of bipeds consist of an actuator to drive almost each joint individually. This individual control of each joint makes the control system complicated, demands high power, reduces the speed (If manually controlled) and requires large amount of feedback. Thus to reduce these losses and increase the output, a set of mechanisms can be used instead of actuators. It is found that if the number of mechanisms is increased by a meager amount then the actuators can be minimized to unity. The concept of a biped robot replicating the human walk cycle can thus be achieved by a single driving actuator.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.850
Threshold uncertainty score0.210

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 head0.010
GPT teacher head0.223
Teacher spread0.212 · 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 teacher head, 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
Published2016
Admission routes1
Has abstractyes

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