Cooperative Control of Mobile Manipulators Transporting an Object based on an Adaptive Backstepping Approach
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Bibliographic record
Abstract
This paper proposes a new adaptive backstepping control scheme for the cooperative control of two mobile manipulators to transport a common object which is rigidly attached to their end-effectors. The key idea is to provide simultaneous control of the mobile base and the end-effector. A two-stage controller is proposed where kinematic backstepping is applied to control the velocity of the mobile platform and adaptive torque control is designed for the end-effector motion tracking. Model parameters are assumed to be completely unknown and are estimated using the adaptive law. Damped Least Squares (DLS) method is used to update the model parameters. The simulation results for two mobile manipulators validate the effectiveness of the proposed 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 | 0.000 |
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