A Note on Inverse Kinematics of Hybrid Actuation Robots for Path Design Problems
Bibliographic record
Abstract
Hybrid actuation robotic systems are mechanical systems that contain both servomotors and constant-velocity (CV) motors. Due to this nature of hybrid actuation, design of hybrid actuation robots is governed by both mechanism and robot design theories and methodologies. For instance, the path generation problem in mechanism design may take advantage of the effect of the servomotor for its real-time adjusting function, for which inverse kinematics needs to be established on the servomotor. In this paper, we first generalize four types of path design problems. We then present a general formulation of inverse kinematics for a five-bar hybrid actuation robot and compare two specific approaches to inverse kinematics in the literature in terms of of their computation and suitability to the path design of hybrid actuation robots. Finally, we extend the result for the five-bar hybrid actuation robot to a general hybrid actuation robot.
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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) | 0.001 | 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 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".