MétaCan
Menu
Back to cohort
Record W4312366924 · doi:10.1109/tcst.2022.3224315

On the Synthesis of Stable Walkover Gaits for the Acrobot

2022· article· en· W4312366924 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

VenueIEEE Transactions on Control Systems Technology · 2022
Typearticle
Languageen
FieldEngineering
TopicRobotic Locomotion and Control
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSwingGaitHolonomic constraintsControl theory (sociology)Effect of gait parameters on energetic costRobotComputer scienceMotion controlTrajectoryHolonomicSimulationGait analysisEngineeringControl (management)Artificial intelligencePhysical medicine and rehabilitationPhysics

Abstract

fetched live from OpenAlex

We introduce a novel method of producing stable walking gaits for the acrobot using virtual holonomic constraints (VHCs). Using this method, we produce a new stable walking motion for the acrobot, the walkover gait. In this gait, the swing leg rotates counterclockwise up and over the stance leg, as opposed to the standard compass gait where the swing leg rotates clockwise and overlaps with the stance leg partway along the motion. The walkover gait is found by searching for a VHC enjoying certain properties, among them the requirement of producing a stable hybrid limit cycle corresponding to walking. Key to the proposed approach is the recently developed notion of the virtual constraint generator (VCG), a control system on the configuration manifold of the robot whose solutions are all possible VHCs up to reparametrization. A systematic procedure is presented for the synthesis of VHCs achieving the desired walking motion for the acrobot, culminating in an optimal control problem for the VCG, solved numerically to produce the gait. Theoretical characterizations are given for the feasibility of the gait generation problem.

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 score0.993
Threshold uncertainty score0.427

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 head0.192
Teacher spread0.184 · 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