Omni-Directional Robot Based on Swerve Drive
Bibliographic record
Abstract
Robots are machines being extensively used in various domains, in some cases replacing human effort. One of the challenges that are prevalent when it comes to the structural build of the robot is the mobility, that is defined by the ease with which the robot can navigate in rough terrains, industrial applications and dynamic environments. This problem can be solved by employing the concept of holonomic robots, wherein the controllable degrees of freedom is equivalent to the total degrees of freedom. This paper proposes one such structural design of an Omni-Directional robot, whose wheels can freely move in any direction. They can move like general wheels or can move sideways along its circumference. The design makes use of Swerve Drive which allows the robot to move in all the directions by just pointing the wheels in that particular way. Rotation is attained by tilting the wheels to 45° from the line of axis. Also, this design aims to develop the Omni-Directional robot as an autonomous robot. The Omni-Directional drive mechanism proves to be very helpful in challenging situations as it offers very good mobility.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".