module 12 of 13
Once the fundamentals are solid, top teams reach for techniques that squeeze out reliability and precision: model-based state-space control with Kalman filtering, log-replay architectures like AdvantageKit that let you debug a match offline, advanced multi-tag pose fusion, robot-to-robot coordination, and rigorous pre-event software hardening. This module goes deep on those advanced controls and software-engineering practices, with real WPILib/vendor APIs and concrete case studies, so an experienced programmer can level up from 'it works' to 'it works every match, and we can prove why.'
Advanced Techniques and Case Studies closes the Programming, Controls & Sensors guide as module 12 of 13, after Common Mistakes and Troubleshooting. Its 5 lessons are about 215 minutes of the guide's ~30 hours.
what is behind this tab
you can read them out of order, nothing is locked
landed on the wrong one?
This is the Programming, Controls & Sensors one: 5 lessons, about 215 minutes. The modules below share the name over completely different material.
when it breaks, not how it works
| no. | module | lessons |
|---|---|---|
| pre | Programming Foundations: A Java Primer | 4 |
| 01 | Foundations: Tools, Languages, and Your First Robot Program | 4 |
| 02 | The Robot Program: Lifecycle and Command-Based Architecture | 4 |
| 03 | Motors, Sensors, and Closed-Loop Control | 4 |
| 04 | Autonomous: Odometry, Trajectories, and Simulation | 4 |
| 05 | Sensing Fundamentals: Digital, Analog, and CAN Inputs | 3 |
| 06 | Encoders: Measuring Position and Velocity | 3 |
| 07 | Gyros, IMUs, and Orientation | 3 |
| 08 | Closed-Loop Control: PID, Feedforward, and SysId | 4 |
| 09 | Computer Vision and Pose Estimation | 3 |
| 10 | Worked Examples and Mini-Projects | 5 |
| 11 | Common Mistakes and Troubleshooting | 5 |
| 12 | Advanced Techniques and Case Studiesyou are here | 5 |