Dynamic Modelling of the Surgery Arm in Sina<sub><i>flex</i></sub> Robotic Telesurgery System
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.
Bibliographic record
Abstract
BACKGROUND: The use of robotic telesurgery has increased because of its high accuracy, fewer complications, and remote-control capability. To improve the accuracy of robotic arms in these systems, it is essential to have a precise dynamic model. METHODS: robotic telesurgery system and develop a dynamic model for a novel slave robot. Our approach involves deriving and linearising dynamic equations, defining optimal excitation trajectories, and estimating dynamic parameters using least square optimisation. To investigate the parameters' identification accuracy, the joint torques predicted by the model were compared with those actually obtained from the experiments. RESULTS: The results reveal that the method accurately predicts joint torques with the root mean square ( RMS) ranging from 0.58 to 1.48 Nm. CONCLUSIONS: Using the proposed method in this paper for identifying the robot dynamic parameters leads to more accurate results for robots with complex mechanisms.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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