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Record W4295808857 · doi:10.1115/1.4055605

On the Design of an Adaptable Underactuated Hand Using Rolling Contact Joints and an Articulated Palm

2022· article· en· W4295808857 on OpenAlex
Jean-Michel Boisclair, Thierry Laliberté, Clément Gosselin

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

VenueJournal of Mechanisms and Robotics · 2022
Typearticle
Languageen
FieldEngineering
TopicRobot Manipulation and Learning
Canadian institutionsUniversité Laval
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsUnderactuationThumbGrippersDegrees of freedom (physics and chemistry)Mechanism (biology)EngineeringKinematicsComputer scienceArtificial intelligenceControl theory (sociology)SimulationMechanical engineeringRobotControl (management)Physics

Abstract

fetched live from OpenAlex

Abstract Based on an optimized underactuated finger using rolling contact joints, a novel prosthetic hand is proposed in this paper to increase the adaptability to objects of highly underactuated grippers. The hand has 17 degrees-of-freedom and only one degree of actuation, yielding a robust and simple control. A manually operated thumb, able to reach three stable positions corresponding to the main grasping postures is first presented. Its rolling contact joints, introduce geometric twist and tilt, are designed in an iterative process using 3D modeled contacts. In parallel, the parameters of the thumb are optimized to maximize the distribution of contacts and the ability to hold objects. A joint located inside the hand allows the palm to arch, increasing the opposition of the ring finger, and the little finger to the thumb. The floating mechanism used to distribute the single actuation to the different degrees-of-freedom reduces friction while avoiding the unnecessary blocking of components. Finally, a prototype is designed and built to demonstrate the adaptation capabilities of the hand to diverse objects, which is enhanced by a gravity-dependent closing sequence and the deformation of the palm that maximizes the contribution of each finger. Novel possibilities are also presented such as the grasping and flipping of small objects on a hard surface.

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 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 score0.562
Threshold uncertainty score0.279

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.055
GPT teacher head0.248
Teacher spread0.193 · 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