FTC++
  • Home
  • 📷Vision
    • Introduction
    • AprilTags
    • Bitmaps
    • Custom Algorithms
  • 🔢Data
    • Introduction
    • Moving Average Filter
    • Kalman Filter
    • Sensor Fusion
    • Multi-Variable Kalman Filter
  • 🎮Control Theory
    • Introduction
    • State Space Control
    • Linear Quadratic Regulator
    • Model Predictive Control
    • Odometry
  • 🧊3D Modelling
    • Odometry pods
    • Sensors
    • Turrets
  • 📚Resources
    • Resources
Powered by GitBook
On this page
  1. Data

Introduction

intro to data in FTC

Welcome to the world of data filtering and sorting in FTC (FIRST Tech Challenge), where precision and efficiency are the keys to success! In this introduction, we'll delve into the essential concepts of data filtering and sorting, vital techniques that enable you to make sense of vast amounts of information and enhance your FTC robot's decision-making prowess.

As an FTC programmer, you'll encounter situations where your robot's sensors gather copious amounts of data, such as sensor readings, vision data, or telemetry from various sources. However, not all of this data is equally relevant or accurate. Data filtering comes to the rescue, allowing you to process and refine the incoming data, eliminating noise, and extracting valuable insights.

Through data filtering techniques like Kalman filters, moving averages, or median filters, you can significantly improve the quality of sensor data, leading to more robust and reliable robot behavior. Whether you're navigating a maze, detecting objects, or tracking a target, accurate data filtering is essential for achieving precise and consistent results.

But data is only useful if it's organized in a meaningful way. That's where data sorting comes into play. When your robot needs to process data in a specific order, like selecting targets based on their priority or optimizing path planning, data sorting becomes indispensable.

With data sorting algorithms like bubble sort, quicksort, or merge sort, you can efficiently arrange your data in ascending or descending order, facilitating faster decision-making and streamlined execution. Proper data sorting ensures that your robot can process information with maximum efficiency, leading to improved performance and a competitive edge in FTC competitions.

In this journey, we'll explore the ins and outs of data filtering and sorting techniques, tailoring them to FTC programming scenarios. From implementing real-time data filters to fine-tuning sorting algorithms for optimal performance, we'll equip you with the skills to unleash the full potential of your FTC robot.

So, if you're ready to master the art of data filtering and sorting in FTC, join us on this transformative adventure. Together, we'll elevate your programming expertise and propel your FTC robot to new heights of accuracy, efficiency, and success!

PreviousCustom AlgorithmsNextMoving Average Filter

Last updated 1 year ago

🔢