A task-space weighting matrix approach to semi-autonomous teleoperation control
Why this work is in the frame
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Bibliographic record
Abstract
A semi-autonomous control strategy is proposed for teleoperation of a mobile base and/or a twin-arm robotic manipulator for use when conventional teleoperation is inadequate. The approach employs idempotent and generalized pseudoinverse matrices to augment operator(s) control with some level of assistance/autonomy. An application specific task-space weighting matrix is introduced to adjust the relative weight of autonomous control with respect to human-centered teleoperation control. The task-space weighting matrix allows for a smooth continuous transition from completely autonomous to shared control, and to completely human teleoperated control. Experiments with a twin-armed mobile slave robot demonstrate the feasibility and basic functionality of the controller.
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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 | 0.001 |
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