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Record W2806045912 · doi:10.1139/tcsme-2017-0143

The adaptable amphibious wheel-legged robot

2018· article· en· W2806045912 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.

venuePublished in a venue whose home country is Canada.
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

VenueTransactions of the Canadian Society for Mechanical Engineering · 2018
Typearticle
Languageen
FieldEngineering
TopicRobotic Locomotion and Control
Canadian institutionsnot available
FundersShanghai Municipal Education CommissionNational Natural Science Foundation of ChinaNatural Science Foundation of Shanghai
KeywordsKinematicsTrajectoryRobotClimbGaitComputer scienceMechanism (biology)Control theory (sociology)SimulationRobot kinematicsControl engineeringEngineeringMobile robotArtificial intelligenceControl (management)

Abstract

fetched live from OpenAlex

A new category of large-diameter adaptable amphibious wheel-legged robot is proposed in this paper. The proposed mechanism can climb obstacles better than existing designs. The Denavit–Hartenberg (D–H) coordinate system is used for kinematic analysis, and the constructed kinematic model is used to solve for these joint variables for a redundant robot. The control strategy is to plan both the foot trajectory of the amphibious robot, to optimize the operational performance in special environments, as well as the walking gait. Then the closed-loop control system is used. A simulation is used to verify the usefulness of the planned foot trajectory and walking gait for an entire running cycle, and a circuit is designed to solve a communication problem between the Arduino and the AX-12 servo. Finally, the foot trajectory of a single robot leg is captured by a three-dimensional motion-capture system to verify the rationality of the foot trajectory and walking gait.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.982

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 studies0.0010.000
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 head0.008
GPT teacher head0.182
Teacher spread0.174 · 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