Trajectory tracking of Wheeled Mobile Robots: A kinematical approach
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Bibliographic record
Abstract
This paper presents a novel control approach for trajectory tracking control of nonholonomic Wheeled Mobile Robots (WMRs) which is named “Lyapunov-based Guidance Control (LGC)”. To date, various methodologies have been suggested for solving this problem. However, the proposed kinematical method of this investigation has some advantages in terms of its mathematical simplicity, and good tracking performance due to the developed “Guidance” scheme. The controller is designed to guide the robot to its proper orientation at each instant. In this paper, a heading angle scheduler is first proposed which provides an appropriate heading angle of the mobile robot at each instant. Then, to adjust the linear and angular velocities of the robot, a set of control laws is proposed based on the appropriate heading angle. It is also proved that the closed-loop control system is stable. The achieved results of the proposed scheme are compared with those of Model Predictive Control (MPC), Linear State Tracking Control (LSTC) and Nonlinear State Tracking Control (NSTC) methods. The experimental implementation results obtained through a WMR test-bed show the effectiveness of the proposed kinematical 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