Technical Defense, Portfolio & Learning Roadmap
Finishing the dust-collection capstone: a ten-minute defense that runs from the baseline log to the month-of-use results, labeling every claim as measured, calculated, tested, or not yet known; a portfolio dossier of the brief, requirements, calculations, code, and test records; an honest release recommendation; lessons learned; and the next improvements and courses.
- 4 min
- 5 steps
- 3 questions
- Lesson 78 of 78
In this lesson
- Ten-minute defense structure
- Portfolio dossier
- Lessons learned
- Honest release recommendation
- Next
Picking up where you left off.
Ten-minute defense structure
The last product isn’t the hardware; it’s an argument someone else could check, from the problem to the evidence. Give it in ten minutes, even if the only listener is a friend who knows electronics:
- Problem (1 min): the baseline log: 64 starts, 15 with the collector forgotten or the wrong gate, 11 with extra gates open, 2 clogs; and the checklist that helped but didn’t finish the job.
- Requirements (1 min): the matrix, with AIR-01 and SAFE-04 called out.
- Concept (2 min): the three concepts, the scores, the sensitivity check that made the weights the decision, and why the line-voltage half was bought.
- Evidence (3 min): the airflow check and measured drop speeds; the gate-force and burden calculations; the state machine; the bench, installed, and fault test results; the month’s log against the baseline.
- Risks and limits (2 min): the hazard list and unplug rule, what still isn’t known, and anything accepted on the punch list.
- Decision (1 min): the release recommendation and the next experiment.
Label every claim with the kind of evidence behind it: measured (the slide force, idle currents), calculated (Q = V × A, the actuator torque), tested (the drop speeds, the power-blip result), observed (the month’s log), or not yet known (how the actuators hold up over a year). A photo of a tidy controller box is evidence of tidiness, not of safety.
Quick check
The label tells the listener what kind of evidence stands behind the claim.
Portfolio dossier
Put the whole project in one folder (or a notebook and a folder) that would let someone rebuild and re-test it:
- the brief, baseline log, and checklist trial;
- the requirements matrix and decision record;
- sketches, the duct layout, and the gate-actuator and burden calculations;
- the wiring diagram, with the line-voltage parts and their ratings;
- the controller code under version control, with the state diagram;
- every test case and its result, the fault campaign, and the month’s log;
- the punch list, lessons learned, and photos.
Stanford’s experimental robotics course ends the same way, with a working demonstration, a presentation, and a written report 1, and MIT’s machine design course grades the ability to model, build, and then characterize a device against its requirements 2. The dossier is where that loop shows.
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Lessons learned
Write down what surprised you and what you’d change, while it’s fresh. For example: the dusty slide force was higher than a clean gate’s, so the first servo stalled; one tool’s idle current was closer to its threshold than expected, which caused a false stop during a light cut; two limit switches drifted and needed a sturdier mount. Each lesson says what happened, why the design allowed it, and what the next version does differently. MIT’s design courses treat this reflection as part of the engineering, not a postscript 3.
Quick check
Lessons learned are the part of the dossier the next project uses.
Honest release recommendation
End with one of these and its conditions:
- Ready for everyday use: every requirement passed and the month beat the baseline.
- Ready after listed fixes: for example, replace the gate that stuck half open and re-run its tests, with the limitation recorded until then.
- Not recommended: the evidence showed the concept can’t meet a critical requirement, so fall back to concept B and labeled gates.
“Not recommended” can be a good capstone result if the evidence is solid; it’s cheaper to learn that from a month of logging than from a year of clogs.
Quick check
Name the condition for release and the evidence that will close it.
Next
Improvements for a second version: a differential-pressure sensor across the filter to tell when it needs cleaning, a fill sensor in the bin, and logging air speed over time to catch a leak or a clog early.
And the next courses, depending on where the project felt thinnest: fluid mechanics for ducts and fans, electronics and signal conditioning for sensing, controls for the state machine and anything with feedback, machine design for mechanisms, and the industrial automation and robotics courses for the factory-scale version of the same problems.
Lesson complete
Nice work.
Sources for this lesson
- 1CS225A - Experimental Robotics. Stanford University. verifiedProject course joining control, programming, vision, mechanical engineering, robot implementation, demonstrations, and final reporting.
- 2Elements of Mechanical Design. MIT OpenCourseWare. verifiedModeling, design, integration, fabrication, and characterization of bearings, springs, gears, cams, mechanisms, shafts, drives, and connections.
- 3Design and Manufacturing I. MIT OpenCourseWare. verifiedProject-centered course on electromechanical design, machine elements, experiments, drawings, modeling, fabrication, and technical review.