SOLVERSMIND ROBOTICS / FTC

SAMPLE PORTFOLIO / REPLACE WITH VERIFIED DATA

FTC 20XXX / ROOKIE SEASON

Rookie by registration. Engineered through a pathway.

An example engineering portfolio showing how SolversMind students translate FLL foundations and FRC knowledge-sharing into original FTC work, measured learning and student ownership.

ROBOT HERO
IMAGE / CAD

Replace with current FTC robot visual

BIOBUZZ / 2026-2027

BUILD / MEASURE / TEACH / IMPROVE

SUSTAIN / JUDGE QUESTION BANK

A team designed to outlast its founders.

01

Seven sample responses adapted from the official FIRST Tech Challenge 2025-2026 Judge Question Bank. Replace each response with current FTC student evidence before submission.

01 / LONG-TERM PLAN

What does your sustainability plan look like?

We use a pathway, not a one-season roster: FLL builds fundamentals, FTC develops subsystem ownership, and FRC peers share advanced practice. FTC students document decisions so the next cohort begins with tested knowledge.

02 / TRACKING

How do you track progress toward the plan?

Students turn seasonal goals into weekly milestones on a shared board. Owners attach evidence such as CAD revisions, test data, budget status and outreach records, then close each week with a retrospective: done, blocked, next.

03 / RESPONSIBILITY

How are responsibilities assigned and tracked?

Each workstream has a student owner, apprentice and peer reviewer. Roles follow interest and readiness rather than fixed titles. Pairing prevents single-person knowledge, and work is complete only when it is tested and documented.

04 / ONBOARDING

How do new members feel connected from the start?

New members enter through a starter sprint covering safety, tools, CAD or code basics and one small deliverable. A student buddy gives feedback and links that contribution to match strategy so ownership starts early.

05 / LEADERSHIP

How do you grow future team leaders?

Our leadership ladder is observe, co-own, lead, then teach. Students run design reviews, explain tradeoffs and train successors. Adults provide safety guardrails and questions; students make decisions and present the evidence.

06 / TIME HORIZON

How do you balance short-term needs and long-term planning?

Competition-critical work runs beside protected training, documentation and maintenance. Reusable CAD libraries, checklists and lessons learned keep a deadline from erasing future capability or forcing the next team to restart.

07 / FINANCE + RISK

How will the team remain financially resilient?

The working model combines sponsors, grants, fundraising and disciplined part reuse instead of depending on one source. A student-visible budget and risk register track spending, lead times, skill gaps and contingency actions.

EVIDENCE / REPLACE PLACEHOLDERS

TEAM WORKFLOW PHOTO / 16:9

Show the system, not only the claim.

Add: planning-board photo, student teaching a successor, and a budget or inventory snapshot. Caption each with the Q&A it proves.

SUSTAIN / TEAM SYSTEMS

A team built to last

02

Example roles and skill levels show how responsibilities are distributed, reviewed and transferred. Replace the ratings with student-verified records.

STUDENT ROLE

CAD

BUILD

CODE

DOCUMENT

Mechanical lead

3

3

1

2

Controls lead

1

2

3

2

Drive team

2

3

2

2

Outreach lead

1

1

1

3

Rookie builder

1x2

1x2

0x1

1x2

12

SKILL CHECKPOINTS

2

STUDENT REVIEWERS

1

SUCCESSION HANDBOOK

WEEKLY

RETROSPECTIVE

REACH / IMPACT DASHBOARD

Community impact, measured

03

All figures below are illustrative placeholders. Each final statistic should link back to attendance sheets, event records, surveys or published SolversMind evidence.

420

SAMPLE / STUDENTS REACHED

96

SAMPLE / OUTREACH HOURS

14

SAMPLE / PUBLIC EVENTS

7

SAMPLE / PARTNER SCHOOLS

Learners engaged by month

Example bar chart
JanxJun

JAN

FEB

MAR

APR

MAY

JUN

REACH / SIGNATURE PROGRAMS

Programs designed for follow-through

04

Three example program cards use the same editorial sequence: Need -> Action -> Student leadership -> Measured result -> Next step.

01 / PROGRAM

Girls robotics camp

Need: accessible first experience

Students designed four rotating build stations.

SAMPLE: 25 participants; 90% new to FIRST.

Next: invite families to a team launch night.

02 / PROGRAM

Teacher workshop

Need: classroom-ready support

Students demonstrated reusable robot challenges.

SAMPLE: 12 teachers received lesson kits.

Next: measure classroom adoption after 60 days.

03 / PROGRAM

Community robot lab

Need: low-barrier public access

Students hosted hands-on driving and coding.

SAMPLE: 160 visitors across three events.

Next: publish an open activity guide.

REACH / FIRST GROWTH

Impact that creates more participation

05

The strongest outreach evidence shows sustained access: teams started, coaches trained, reusable resources shared and students returning as mentors.

Teams supported / example trend

2

2022

4

2023

7

2024

10

2025

13

2026

PATHWAY OUTPUTS

03 / new-team launch kits

08 / coach training sessions

24 / shared technical resources

SAMPLE VALUES - replace with verified counts and evidence links.

CONNECT / ENGINEERING COMMUNITY

Ask better questions. Build better relationships.

06

A partner logo is not evidence by itself. These examples connect each relationship to a student question, learned principle, design change and follow-up action.

MANUFACTURING MENTOR

Question / How can we reduce shaft misalignmentx

Student application / Added datums and a two-step inspection jig.

SOFTWARE SPECIALIST

Question / How should vision uncertainty affect drivingx

Student application / Displayed confidence and fallbacks in telemetry.

FIRST COMMUNITY

Question / How can resources serve new teamsx

Student application / Published a versioned onboarding checklist.

COLLEGE PARTNER

Question / How do professionals review designsx

Student application / Students adopted a peer design-review rubric.

CONNECT / KNOWLEDGE TRANSFER

Knowledge moves in both directions

07

Students convert experience into repeatable systems: workshops, checklists, code review, CAD standards and student-to-student coaching.

FLL

Design habits

->

FTC

Scale + iteration

->

FRC

Systems + fabrication

->

NEXT COHORT

Reusable evidence

CAD REVIEW

Named datums + peer sign-off

CODE REVIEW

Small pull requests + tests

BUILD LAB

Safety + inspection checklists

BINDER

Versioned decisions + lessons

THINK / DESIGN PROCESS

Decisions, not decoration

08

A weighted trade study makes assumptions visible. This sample compares three intake concepts; teams should replace criteria, weights and scores with their own records.

CRITERION

WEIGHT

COMPLIANT WHEEL

BELT

ROLLER CLAW

Acquisition tolerance

30%

5

3

4

Cycle speed

25%

4

5

3

Jam recovery

20%

4

2

5

Manufacturability

15%

5

3

3

Serviceability

10%

4

3

4

WEIGHTED TOTAL

100%

4.45

3.35

3.80

DECISION

Prototype the compliant-wheel intake first; validate game-piece damage and centering before freezing geometry.

THINK / REQUIREMENTS + RISK

Strategy translated into testable targets

09

Every strategy claim becomes a measurable requirement, owner and validation method. Risks remain visible until mitigated or accepted.

REQUIREMENT

TARGET

VALIDATION

STATUS

Acquire game piece

<1.2 s

20-cycle bench test

VALIDATING

Score repeatability

>90%

50-shot trial

AT RISK

Autonomous score

2 objects

10 consecutive runs

BUILDING

Module replacement

<4 min

pit drill

PASS

Drive reliability

>98% uptime

practice log

PASS

TOP RISKS

01 / Game-piece compression
Mitigation: adjustable hard-stop + current sensing.

02 / Odometry drift
Mitigation: vision correction + confidence threshold.

03 / Repair time
Mitigation: keyed connectors + spare module.

SAMPLE REGISTER
Owner and review date required for every final risk.

THINK / TEST + ITERATE

Performance improves when the evidence is honest

10

The example graph tracks cycle time across four versions. Cards below connect the failure, measurement, change and lesson rather than presenting only the successful final design.

Cycle time / lower is better

5.8s

V1

4.5s

V2

3.4s

V3

2.6s

V4

V1 / MISSED ALIGNMENT

Measured 38% failed acquisition.
Decision: Added funnel geometry.

V2 / JAM RECOVERY

Current spikes identified pinch point.
Decision: Opened exit path + reversed automatically.

V3 / SERVICE ACCESS

Repair drill exceeded six minutes.
Decision: Converted intake to a keyed module.

INNOVATE / SIGNATURE MECHANISM

Make the differentiator understandable

11

Use one subsystem to show the full chain from game problem through constraints, competing concepts, prototype evidence and final performance.

SIGNATURE MECHANISM
CAD / PROTOTYPE IMAGE

Annotate the contact path, compliance, service points and sensors.

PROBLEM

Acquire misaligned objects without damage.

CONSTRAINT

One motor, compact envelope, sub-four-minute swap.

DIFFERENTIATOR

Passive centering plus current-aware jam recovery.

TEST

100 acquisitions across six entry angles.

SAMPLE RESULT

94% success; 2.6-second median cycle.

LESSON

Compliance solved variation better than precision alone.

INNOVATE / SYSTEM INTEGRATION

Innovation between the parts

12

The system becomes distinctive when mechanics, sensing, software and serviceability reinforce each other. This page describes those interfaces explicitly.

GAME PIECE

->

SENSE -> ACQUIRE -> TRANSFER -> SCORE

MECHANICAL SIMPLICITY

One driven roller module reduces failure modes.

SENSOR FEEDBACK

Beam break confirms transfer; current detects jams.

VISION HANDOFF

Driver receives alignment confidence, not a binary claim.

MODULAR SERVICE

Keyed connector and two fasteners support quick swaps.

STATE MACHINE

Software guards unsafe transitions between mechanisms.

STUDENT FABRICATION

Common stock and printed jigs keep repairs repeatable.

DESIGN / ROBOT ARCHITECTURE

One robot. Clear interfaces.

13

A large annotated visual should make the architecture legible in seconds. The example specification row captures service, safety and performance intent.

ANNOTATED ROBOT
IMAGE / EXPLODED CAD

01 drivetrain 02 intake 03 transfer
04 scoring 05 electronics 06 sensors

DRIVETRAIN

Mecanum / low CG

12.4 kg

INTAKE

Compliant wheel module

2.6 s cycle*

TRANSFER

Guided channel

Beam break

SCORING

Two-position arm

+/-1.5 deg target*

ELECTRONICS

Service panel

<4 min swap*

SAFETY

Guarded pinch zones

Checklist

* SAMPLE PERFORMANCE VALUE - replace with verified test evidence.

CONTROL / SOFTWARE + AUTONOMY

Control architecture that explains itself

14

Show the flow of intent from driver or autonomous plan to subsystem commands, feedback, safety guards and telemetry. Then validate routines with repeated trials.

INPUT

Driver / Auto

->

STATE

Coordinator

->

COMMAND

Subsystems

->

FEEDBACK

Sensors

->

OUTPUT

Telemetry

ROUTINE

TRIALS

SUCCESS

MEDIAN TIME

NEXT ACTION

Park + preload

10

10 / 10

18.2 s

Freeze

Two-object near

10

8 / 10

26.4 s

Improve alignment

Two-object far

10

6 / 10

28.8 s

Reduce path risk

Recovery routine

10

9 / 10

4.1 s

Add timeout log

SAMPLE TABLE

Final version should link each routine to code revision, field setup and test date.

RESULTS / REFLECTION

Finish with evidence - and unfinished work

15

A strong closing page shows what improved, what remains unreliable and what the students will do next. The example values are placeholders, not competition claims.

SEASON KPI / SAMPLE

Acquisition success

94%

Autonomous consistency

80%

Mechanism uptime

97%

Maintenance drill

72%

NEXT ITERATION

01 / Raise far-side autonomous consistency above 80%.

02 / Reduce intake module replacement below three minutes.

03 / Add confidence-aware driver feedback for vision alignment.

STUDENT REFLECTION
“We stopped treating failure as lost time. A failed test became useful once we recorded what changed.”
- Sample reflection, replace with student voice

CURRENT STUDENT WORK / VERIFIED SOURCES / CLEAR NEXT STEPS

END / 15

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Last updated: July 15, 2026