3D Positioning of a Stewart Platform Using Soft Pneumatic Actuators: A Design Approach
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Bibliographic record
Abstract
In this paper, the application of a novel soft bellows pneumatic actuator (SBPA) into an advanced mechatronic system specifically, a Stewart platform, is investigated.Our previously research has demonstrated that the newly designed SBPA can generate forces exceeding 100 N, achieving a contraction ratio greater than 40% relative to its maximum length, and reaching motion speeds above 60 mm/s.Moreover, precise linear positioning within 10 m has been achieved through the application of a Linear Quadratic Regulator (LQR).To further evaluate the capabilities of the developed actuator, a six-degree-of-freedom Stewart platform was designed using three identical SBPAs.The 3D positioning of the platform was evaluated under open-loop control, using a camera-based system to track the displacement of key points on the platform for model identification and validation of the control results.The developed Stewart platform achieved a positioning error of 1.1% at the centre of the platform when all SBPAs were activated.Additionally, the platform's dynamic performance was assessed by actuating the SBPA with sinusoidal inputs at varying frequencies.At 1 Hz, the platform exhibited consistent vibrational motion, indicating its potential for use in vibration-based applications.This study advances the development of SBPAs and provides insight into their integration in complex mechatronic systems.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it