Ball Launching Mechanism as a Comprehensive Platform for a Mechatronics Design Course*
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper presents our efforts in developing an open architecture lab platform for a highly lab-oriented mechatronics design course which can be further integrated with other labs in courses such as control and machine design. After several years teaching this course, there was a need to re-vamp the experiential content of the course to provide a better learning experience for students. The project involves design and implementation of an actuated mechanical arm along with electronics circuitry for sensing, signal conditioning, and power drive, and its control using industry-grade tools and practices. The students are provided with guidelines in the lecture material to design their system and demonstrate its operation during the semester at several checkpoints and finally through a competition at the end of the semester. By defining challenging new projects, our goal is to increase the students' engagement in the design and implementation of a low-cost, yet challenging motion control system. A team-based approach is adopted to further enhance the students' teamwork and collaboration, while giving them an chance to practice their technical and interpersonal skills.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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