Autonomous Navigations for FLL Robot Game: Advanced Techniques

We are the Gummy Bears, FLL #firstlegoleague team 44355 now part of the FRC team Mechanical Advantage @LittletonRobotics 6328. In this video, we’ll discuss a few advanced navigation techniques that can help your robot navigate reliably and consistently during the FLL robot game. The techniques include: vector navigation, which converts the game field to a 2D vector map, two-stage gyro turns that use fine adjustments to reduce errors from the initial turn, motion profiling with trapezoidal speed/power controls, using simple math and basic geometry solving parking and alignment problems, PID couple with feedforward to handle heavy attachments, and continuous path navigation with PID and machine learning. We also highlight the importance of using jig and wall guides to simplify navigation. The methods discussed here are applicable to both Spike PRIME and EV3 robots.

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Website ➡️ https://sites.google.com/view/fll-gummybears/
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0:00 – Intro
0:32 – What is Autonomous Navigation?
1:18 – Basic and Advanced Navigations
2:15 – The Important of Data Logging
2:41 – Vector Navigation
3:35 – Two Stage Gyro Turns
4:29 – Trapezoidal Speed/Power Controls
5:18 – Using Math and Geometry: Adaptive Parking
6:30 – Using Math and Geometry: Non-stop Heading Adjustment
7:23 – PID and Feed Forward
8:05 – Continuous Path Navigation
8:56 – Continuous Path Navigation: Simple Machine Learning
9:29 – Using Jigs and Wall Guides to Simplify Navigation
9:58 – Outro

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