Modeling and Real-Time Motion Planning of a Class of Kinematically Redundant Parallel Mechanisms With Reconfigurable Platform
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Kinematic redundancy can be exploited to improve the performance of parallel mechanisms. Nevertheless, motion planning and control of kinematically redundant parallel mechanisms (KRPMs) are the challenging problems. In this research, a novel class of KRPMs with a reconfigurable platform is introduced. The dynamic equations of motion are derived. Then, a neural network approach is used for the motion planning of a manipulator in the new class. The multilayer perceptron-based neural network (MLP) is used for training data. The results show that the method can be implemented online for the control of the mechanism. Also, since the platform is reconfigurable, the introduced mechanisms can be used for grasping irregular objects. The motion of the mechanism is simulated for singularity avoidance and grasping.
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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 | 0.000 | 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