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Bimanual Manipulation Workspace Analysis of Humanoid Robots with Object Specific Coupling Constraints

2022· article· en· W4313562936 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venue2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids) · 2022
Typearticle
Languageen
FieldEngineering
TopicRobotic Locomotion and Control
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWorkspaceHumanoid robotComputer scienceRobotMetric (unit)Object (grammar)Polygon (computer graphics)Focus (optics)Stability (learning theory)Computer visionArtificial intelligenceEngineeringPhysics

Abstract

fetched live from OpenAlex

In this work, a bimanual manipulation workspace analysis for humanoid robots is developed. This analysis con-siders manipulability and whole-body stability for a workspace where constraints exist between the hands of the humanoid for varying hand positions and object grasps. With this goal in mind, a combined manipulability-stability metric based on the volume of the manipulability ellipsoid and the distance of the capture point from the edge of the support polygon is proposed. This metric is visualized in a variety of workspace scenarios including those where the humanoid's center of mass is moving at a certain velocity and where it is grasping and carrying objects of different masses and shapes. With a focus on tightly coupled bimanual manipulation of varying symmetry, objects studied include boxes, a broom and a rolling pin. A general workspace and a box manipulation workspace are visualized for both the REEM-C and TALOS humanoids showing differences in the generated workspace volumes due to the varying topologies of the humanoids. These visualizations aim to provide insights into how manipulability and whole-body stability are affected by bimanual manipulation scenarios and to inform complex manipulation applications in areas such as control and cost-based planning.

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 categoriesMeta-epidemiology (narrow), Insufficient 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: Empirical
Teacher disagreement score0.414
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0150.000

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 head0.034
GPT teacher head0.258
Teacher spread0.224 · 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