Operational Space Formulation and Analysis for Rovers
Bibliographic record
Abstract
Many techniques have been developed for analyzing and evaluating mechanical systems for the purpose of improving design and control, such as the operational space formulation. It has been been shown to be a useful tool when working with robotic manipulators, but has not been extended to consider rovers. Rovers are fundamentally different due to the wheel-ground contact, that does not exist for fixed-base systems. In this paper, several different aspects of the operations space formulation, inertial properties, control, multi-arm systems, redundancy, and unactuated coordinates are investigated in the context of rovers. By considering a different interpretation of the operational space of a rover, several sets of generalized coordinates were chosen to represent the movement of two example rovers. Simulations were performed to demonstrate how these choices of generalized coordinates can be used to analyze various characteristics of the rovers and can improve the behavior for certain maneuvers, such as wheel walking.
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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".