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Record W2070914248 · doi:10.1115/detc2002/mech-34361

Mobile Robot for Uneven Terrain

2002· article· en· W2070914248 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.

fundA Canadian funder is recorded on the work.
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
TopicRobotic Locomotion and Control
Canadian institutionsnot available
FundersMcGill UniversityArizona State UniversityUniversity of Pennsylvania
KeywordsMobile robotMicrocontrollerClimbRobotServomotorTerrainDC motorComputer scienceMotion controlLinkage (software)Remote controlRobot controlFrame (networking)Servo controlSimulationControl engineeringEmbedded systemServoEngineeringArtificial intelligenceComputer hardwareElectrical engineeringTelecommunications

Abstract

fetched live from OpenAlex

This paper outlines the details of the development of a mobile robot than can navigate uneven terrain. The robot incorporates a combination of wheels and legs. The legs are based on a parallel-drive 2-R linkage that allows the motors to be located on the robot frame. The legs are driven through servo motors while the wheels are powered through DC motors. A PIC microcontroller is used to control the system, while a novel IR-based communication module allows the user to remotely control the device. In the proof-of-concept prototype, a human operator can control the approximately 6×9×4 inches (15.24×22.86×10.16 cm) and approximately 8 lb. (3.63 kgs) robot (with onboard electronics and control systems) to climb and descend steps. Future versions can be expected to autonomous and equipped with cameras and ad hoc networking cards for field operations.

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 categoriesInsufficient payload (model declined to judge)
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 score0.974
Threshold uncertainty score1.000

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)0.0010.000

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 head0.012
GPT teacher head0.201
Teacher spread0.189 · 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

Citations3
Published2002
Admission routes1
Has abstractyes

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