Ashley Oyervide
Portfolio
Ring Toss Leader
In this Unit, you will learn how to play the Ring Leader Competition with your Clawbot. You will iterate on your code and game strategy to improve the robot's performance in both driver control and autonomous challenges to score more points!
DEFINE
In this challenge, we had two parts to complete. The first part of the competition was autonomous and the second was driver manual. We played this challenge with our clawbot. We had to code our robot to score rings autonomously and then use our driving strategy and manual to score more points.
Scoring & Game Rules
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Robots must pick and place a ring completely around any of the posts of their preference.
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-There are three different level posts to score into; the small post worth (+1), the medium post (+3), and the tall post (+5)
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Teams get two runs for both the driver controlled period and autonomous period, each a minute long.
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The final scored is determined after combining the scores for both runs.
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All robot parts and attachments must fit inside the starting square at the beginning of the match.
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If two teams have the same score after both one minute runs, the team with the higher autonomous score, wins.
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If both teams have the same score for autonomous, whoever scores two rings in the medium post during an autonomous run, wins.
Develop Solutions
For this challenge, my team had numerous conflicts. One of our primary issues was coding for the autonomous mode.
Not only did the coding fail, but the armmotor also stopped raising to some extent. This affected our approach because our armmotor didn't fully lift up, giving us little chance of scoring at the post with the most points. We resolved this issue by replacing our motor attached to the arm motor with a new one, as the prior one was beginning to overheat. We also tried several coding blocks and structured them in the best method to appropriately operate the clawmotor and score rings on the post. And somehow the code kept on getting deleted.
My team did good in a challenge with 1 rings, earning 2 points. They faced issues with their bot malfunctioning and coding not working correctly. They improved the robot's mechanisms and tried new items like rubber bands for better grip on rings. They continued with the same wheels, omni in the front and travel tires in the back, and the same driving manual. One key improvement was increasing the robot's velocity and arm motor speed for better pace in autonomous tasks. The team learned valuable lessons from the challenge and improved their robot's performance.