Decoupled teleoperation of a holonomic mobile-manipulator system using automatic switching
Bibliographic record
Abstract
Mobile-manipulator systems (MMS) are extremely useful tools in teleoperation tasks. However, the current command strategy is strenuous and difficult and requires extensive training. A new command strategy is presented where control of the entire MMS is done using a single joystick. Rather than modeling the system as a redundant manipulator, control of the manipulator and mobile base is decoupled. In two separate states, the operator either controls the manipulator or the base. The system automatically switches between states based on the configuration of the manipulator. Testing is performed using the Omnibot MMS, a holonomic platform with a 3-DOF manipulator. The results showed that less time is required for completion of the tasks. In addition, the tasks are completed with greater accuracy and lower power consumption. Operators who used the system agreed the new command strategy was easier and more intuitive.
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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".