Difference between revisions of "FTC 2024 Season"
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= From 2023 Java Training = | = From 2023 Java Training = | ||
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| + | == Take another look == | ||
| + | |||
| + | * [https://ftc-docs.firstinspires.org/projects/ftcdocs-archive/en/latest/ftc_ml/managing_tool/index.html Managing the FTC-ML Workflow] | ||
| + | |||
| + | from team 23918 - Super Sigma Robotics - gave Tensor Flow workshop at first fare Saturday 9/21/24 | ||
== Prepared Labs == | == Prepared Labs == | ||
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== Lab Explorations == | == Lab Explorations == | ||
* [[FTC Using Android Debugging Bridge to Locate Bugs 20231108]] | * [[FTC Using Android Debugging Bridge to Locate Bugs 20231108]] | ||
| + | * [[FTC Programming Teleop 20240924]] | ||
* [[FTC Compute Move Distance 20221014]] | * [[FTC Compute Move Distance 20221014]] | ||
* [[FTC Compute a 90 Degree Turn 20221104]] | * [[FTC Compute a 90 Degree Turn 20221104]] | ||
| Line 98: | Line 105: | ||
* [[FTC TrainingBot Upgrade 20230901]] | * [[FTC TrainingBot Upgrade 20230901]] | ||
| + | |||
| + | = Issues = | ||
| + | |||
| + | * [[Battery]] | ||
= Github fix references = | = Github fix references = | ||
Latest revision as of 14:42, 28 September 2024
Contents
From 2023 Java Training
Take another look
from team 23918 - Super Sigma Robotics - gave Tensor Flow workshop at first fare Saturday 9/21/24
Prepared Labs
- FTC Power Up a Motor 20230911
- FTC Move a Distance 20230919
- FTC Read Colors 20231017
- FTC CanDo with a Color Sensor 20231108 -- Optional --
- FTC Set Up the Mecanum Training Platform 20231025
- FTC Make Coding Easier with Methods 20231025
- FTC Bring Up HuskyLens 20231127
Lab Explorations
- FTC Using Android Debugging Bridge to Locate Bugs 20231108
- FTC Programming Teleop 20240924
- FTC Compute Move Distance 20221014
- FTC Compute a 90 Degree Turn 20221104
- FTC The Challenge - Start Simple and Build 20221108
- FTC Mecanum Drivetrain Kit - Assembly and Setup 20221129
- FTC Working Through Cell Phone Robot Controller and Driver Station Issues 20230320
- FTC Color Sensor 20230424 Small edits to the 20200311 version for Benson
- FTC IMU 20240204 A start
Maintenance
TensorFlow Video Training
- Using TensorFlow to Detect Game Pieces in First Tech Challenge
- Github for above
- FTC Machine Learning
/**
* Initialize the Vuforia localization engine.
*/
private void initVuforia() {
/*
* Configure Vuforia by creating a Parameter object, and passing it to the Vuforia engine.
*/
VuforiaLocalizer.Parameters parameters = new VuforiaLocalizer.Parameters();
parameters.vuforiaLicenseKey = VUFORIA_KEY;
parameters.cameraDirection = CameraDirection.BACK;
// Instantiate the Vuforia engine
vuforia = ClassFactory.getInstance().createVuforia(parameters);
// Loading trackables is not necessary for the TensorFlow Object Detection engine.
}
Apriltag Notes
Control Hub specs
Notice the Multi-Media Processor at the bottom middle of the block diagram below:
- Graphic Engine
- JPEG Decoder
- IEP
- 1080P Video encoder
- 4K Video decoder
General Specifications
- Processor
- RK3328 Quad-core ARM® Cortex-A53
- Texas Instruments ARM® Cortex®-M4
- Memory 1GB LPDDR3
- Storage 8GB eMMC 4.51
- Wireless
- 802.11 ac/b/g/n/w Wi-Fi; Dual Band 2.4 & 5 GHz
- Bluetooth 4.1
- Graphics‡
- GPU - ARM® Mali 450MP4
- HDMI 2.0 support for 4k @ 60Hz
- [https://opensource.rock-chips.com/wiki_RK3328 WIKI RK3328
References
- OnBot Java Guide OnBot Java Guide
- FTC Programming Resources
- Java Video Tutorials
- FTC API reference
- FTC SDK version 7.1
