fc2f7ed7c7
21 files updated: - MrC references → 2890-claw (training, hubs, recommendations, entities, fabric arch) - OpenClaw → Hawk (entity profiles, knowledge docs) - Removed OC artifact comments (openclaw:wiki markers) - Preserved Fred Cullpepper namesake attribution in author fields
3.2 KiB
3.2 KiB
type, title, description, status, students, related, growth
| type | title | description | status | students | related | growth | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| training-hub | Swerve Training Hub | Learning path for Team 2890 swerve drivetrain — from motor to autonomous | active |
|
|
tree |
Swerve Training Hub
Overview
This hub guides students through the Team 2890 swerve drivetrain — from how the motor works to how to program autonomous paths. All content is specific to our hardware: SDS MK4i modules, NEO Vortex motors, SPARK Flex controllers, and YAGSL Java library.
Hardware Stack
| Component | Spec | Doc |
|---|---|---|
| Motor | NEO Vortex (565 Kv, 6784 RPM) | neo-vortex-motor |
| Controller | SPARK Flex (60A continuous) | spark-flex |
| Gearbox | MAXPlanetary (27 ratios, cartridge-based) | maxplanetary-gearbox |
| Module | SDS MK4i (L1/L3 field-swappable) | swere-modules |
| CAN Interconnect | Canjectors (Endz/Minor/Major) | canjectors |
| Odometry | CANcoder + YAGSL | mothman-robot-code |
Learning Path
Level 1 — Motor and Controller
- neo-vortex-motor — how the motor works, Kv rating, stall torque
- spark-flex — how the controller drives the motor, PWM vs CAN
- maxplanetary-gearbox — why we need gears, cartridge ratios
Check for understanding: Explain why a 6784 RPM motor needs reduction to drive a wheel.
Level 2 — Swerve Modules
- swere-modules — how the MK4i module translates rotation into motion
- L1 vs L3 — when to use each (speed vs. torque)
- canjectors — how CAN signals route from roboRIO to each module
Check for understanding: Sketch a swerve module. Label wheel, gear train, motor, steering motor, CANcoder.
Level 3 — Software and Odometry
- mothman-robot-code — YAGSL swerve implementation
- systemcore — roboRIO replacement coming (understand the platform)
- photonvision — AprilTag pose estimation for autonomous
Check for understanding: What's the difference between wheel odometry and vision pose?
Student Progress
| Student | Level | Status | Last Active |
|---|---|---|---|
| bruno | Level 1-2 | In progress — roller coaster + battery box | 2026-05-05 |
| riley | Level 2-3 | Strong CAD operator, rebuilding climber | 2026-05-05 |
Training Resources
- FIRST Tech Docs — YAGSL Documentation
- Chief Delphi — Swerve share thread (tons of student-built robots)
- SDS MK4i Product Page — SDS Documentation
Prerequisites
- Basic Git usage (for cloning YAGSL)
- Basic Java (for reading/changing robot code)
- Fusion 360 basics (for understanding CAD if doing mechanical track)
Gaps Detected
2890-claw monitoring: This hub tracks learning path completion. Gaps surface when:
- A student is stuck on a concept for >3 days
- A hub link points to a missing document
- Student profile shows no progress in 7+ days
Hub managed by 2890-claw. Add students, update progress, link new training modules as they're created.