Path Generation Algorithm Verification of Five DOF Robotic Arm With Linear Actuator Using MATLAB Sim-Mechanics
Bibliographic record
Abstract
Manipulators have been considered the backbone of industrial world for decades. The main aspect of industrial robotic arm is its ability to track a certain path in the 3D space. Using liner actuators to drive multi degrees of freedom robot offers high load capacity, but path generation algorithm of such robot is relatively complicated and computationally expensive. Furthermore, limitations in the joints workspace are existed. In this work, five degrees of freedom robotic arm is constructed to guaranty suitable workspace. Forward and inverse kinematic algorithms are evaluated. Moreover, path generation algorithm in Cartesian space is held using three different motion planning techniques. Sim-Mechanics toolbox under MATLAB is used to verify the introduced forward kinematics, inverse kinematics, and path generation algorithms. Thus, a comparison between the three introduced motion planning techniques is illustrated. Finally, the generated paths are experimentally applied on the case study. The work aims to illustrate the importance of simulation in the field of robotic arm algorithms verification.
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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 | 0.001 |
| 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".