Joystick-based Control for a Biomimetic Biped Climbing Robot
Why this work is in the frame
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Bibliographic record
Abstract
A joystick-based control method is studied for Climbot, which is a novel 5-DoF (degree of freedom) biomimetic biped climbing robot. The kinematics and the available grasping area of the robot are analyzed firstly. And then, according to the characteristics of the robot biped climbing by switching its fixed-gripper, an intuitional joystick-based operating mode is proposed, in which different operating coordinates are defined for corresponding climbing gaits, and a matrix transform algorithm is presented to keep the robot coordinate system unchanging after switching its fixed-gripper. Finally, road-pole climbing experiments with three gaits (including inchworm-like, turning-around and turning-over gaits) and an application demonstration are carried out to verify the effectiveness of the presented joystick-based control method.
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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 | 0.000 | 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 it