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Record W2114497813 · doi:10.1109/iros.2007.4399443

Kinematics and interaction analysis for tracked mobile manipulators

2007· article· en· W2114497813 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicControl and Dynamics of Mobile Robots
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsKinematicsTerrainMobile manipulatorComputer scienceSlippageMobile robotTrajectoryMotion (physics)Robot kinematicsWork (physics)SimulationControl theory (sociology)RobotEngineeringArtificial intelligenceControl (management)Mechanical engineering

Abstract

fetched live from OpenAlex

This paper presents a systematic method to establish the kinematics model for a tracked mobile manipulator on firm grounds, with consideration of the interactive motions between the tracks and the terrain as well as those between the tracked vehicle and the onboard manipulator. Kinematics modeling for a tracked mobile manipulator is an intractable problem, because there are infinite number of contact points between the tracks and the terrain which makes slippage unavoidable. The track-terrain and vehicle-manipulator interactions make the problem even more complex and difficult to solve since the motion of the onboard manipulator and the centrifugal forces during moderate or high speed motion will give rise to transfer of the load distribution, which may affect the longitudinal and lateral tractive forces and the resistance. This work aims at developing a general kinematics modeling approach, which lays a solid foundation for automatic control of tracked mobile manipulators.

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: Empirical · Consensus signal: none
Teacher disagreement score0.583
Threshold uncertainty score0.260

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 head0.009
GPT teacher head0.244
Teacher spread0.235 · 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

Citations6
Published2007
Admission routes1
Has abstractyes

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