Off-line programming of robotic system based on DXF files of 3D models
Bibliographic record
Abstract
For the convenience of complex trajectory programming of robot and in order to enrich robotic off-line programming (OLP) types, this paper presents an efficient robotic OLP method based on DXF files of 3D modeling software. By decoding DXF files, the 3D position information of object graphic elements such as points, lines, arcs and splines are first extracted, all the graphic elements are then converted into point elements. A trajectory planning algorithm is proposed to make these points linked into robot trajectories according to the drawing order in CAD software. Except for the position information of the trajectory, the orientation of the trajectory is also planned by an easy and efficient method. Coordinate transformation is fulfilled by calibration,The planned trajectory is verified with OpenGL simulation, the executable program is then generated and downloaded into the robot controlle. Experiment results of the 5-DoFs modular robot show that the presented OLP system is effective and can be used in practice.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".