DESIGN OF A ROBOTIC ARM FOR TEACHING INTEGRATED DESIGN
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
Automation systems are generally made upof three main subsystems, namely mechanical, electricaland software. The interactions among these componentsaffect the integrated system in terms of reliability, quality,scalability, and cost. Therefore, it is imperative that thethree components of automation systems are designedconcurrently through an integrated design paradigm.This leads to the need to teach integrated design conceptsto students in programs such as process automation,electrical and computer engineering, and mechanicalengineering. However, due to the time constraint, it isalmost impossible to run full integrated design classprojects. Therefore, instructors have to decide on theparts of the design process that their class projects haveto focus on, and the parts that have to be reviewed for thecompleteness of the integrated design process. In thispaper we present the design and implementation of amicrocontroller based, 3D printable, low cost robotic armsuitable for teaching integrated design. Moreover, thepaper presents how the robotic arm design is used in anintegrated design project of an Industrial Networks andControllers course. Since the focus of this course is theelectrical and software subsystems of the robotic arm,and we do not have enough time to do a full design,students review the design of the robotic arm presented inthis paper and use it to either 3D print the robotic arm orpurchase the mechanical subsystem of the robotic armthat meets the specification.
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 | 0.001 | 0.001 |
| 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