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Kinematically-Constrained Continuous-Path Polynomial Trajectories for Quadrotors

2022· article· en· W4312571183 on OpenAlex
Hassan Alkomy, Jinjun Shan

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

Venue2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) · 2022
Typearticle
Languageen
FieldComputer Science
TopicRobotic Path Planning Algorithms
Canadian institutionsYork University
Fundersnot available
KeywordsPath (computing)PolynomialTrajectoryComputer scienceControl theory (sociology)Mathematical optimizationMathematicsControl (management)Artificial intelligenceMathematical analysisPhysicsComputer network

Abstract

fetched live from OpenAlex

A waypoint trajectory is different from a continuous-path trajectory, e.g., a circular trajectory since the path between the waypoints is not constrained. However, continuous-path trajectories suffer from a major limitation, which is the inability to set any desired kinematic constraints on the trajectory other than the ones defined by the standard equation of the continuous-path trajectory, e.g., the circle equation. Therefore, this paper proposes the kinematically-constrained continuous-path polynomial trajectory to overcome this limitation. First, a framework to generate polynomial trajectories of any degree with an arbitrary number of waypoints in any dimensional space is presented. Second, a dynamic feasibility condition of the proposed trajectory for quadrotors applications is introduced. Third, the the required quadrotor’s thrust is compared to the corresponding continuous-path trajectory to examine if the proposed trajectory requires larger thrust and consequently more energy consumption. Fourth, two different cases with arbitrary kinematic constraints and a piecewise kinematic profile are studied via simulation to show the effectiveness of the proposed approach. Finally, the results are validated experimentally. The results show effectiveness and the feasibility of the proposed approach.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.847
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.028
GPT teacher head0.279
Teacher spread0.251 · 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