“Why did it do that?”
That was probably the most common question our team asked during the FIRST LEGO League season. Sometimes our robot would miss a turn by only an inch. Other times, it would completely fail a mission that had worked perfectly just minutes earlier. At first, these mistakes felt frustrating and discouraging. However, as the season continued, we realized those failures were actually helping us improve our coding and robot design.
One of the biggest lessons our team learned during FLL was that coding rarely works perfectly on the first try. In the beginning, we thought we could write code once, test it quickly, and move on. Instead, we discovered that robotics requires constant testing, patience, and problem-solving.
Throughout the season, our team relied heavily on trial and error. Sometimes the robot turned too far, missed a mission completely, or stopped in the wrong place. Other times, the code looked completely correct on the computer, yet the robot still behaved unexpectedly on the table. Because of this, we had to slow down, carefully observe every movement, and figure out exactly what needed improvement.
Although the process was challenging, we gradually learned to make small adjustments one step at a time. For example, if the robot missed a turn, we slightly changed the angle and tested it again. Meanwhile, if the robot moved too quickly and lost accuracy, we reduced the speed to make the run more reliable. After every test run, we discussed what worked, what failed, and what we could improve next. Little by little, our robot became more consistent.
Trial and error also strengthened our teamwork. Everyone shared ideas, watched test runs carefully, and encouraged each other even when things went wrong. Sometimes one tiny adjustment made a huge difference, which made every improvement feel exciting and rewarding.
“Why did it do that?”
That was probably the most common question our team asked during the FIRST LEGO League season. Sometimes our robot missed a turn by only an inch. Other times, it completely failed a mission that had worked perfectly just minutes earlier. At first, these mistakes frustrated and discouraged us. However, as the season continued, we realized those failures helped us improve our coding and robot design.
One of the biggest lessons our team learned during FLL was that coding rarely works perfectly on the first try. In the beginning, we thought we could write code once, test it quickly, and move on. Instead, we discovered that robotics demands constant testing, patience, and problem-solving.
Throughout the season, our team relied heavily on trial and error. Sometimes the robot turned too far, missed a mission completely, or stopped in the wrong place. Other times, the code looked correct on the computer, yet the robot still behaved unexpectedly on the table. Because of this, we analyzed every movement carefully and searched for ways to improve each run.
Although the process challenged us, we learned to make small adjustments one step at a time. For example, if the robot missed a turn, we slightly changed the angle and tested the code again. Meanwhile, if the robot moved too quickly and lost accuracy, we lowered the speed to create more consistent runs. After every test, we discussed what worked, identified problems, and planned our next changes. Step by step, we improved both our robot and our coding skills.
Trial and error also strengthened our teamwork. We shared ideas, watched test runs closely, and encouraged each other when things went wrong. Sometimes one tiny adjustment completely changed the robot’s performance, which made every improvement feel exciting and rewarding.
By the end of the season, we no longer viewed mistakes as failures. Instead, we treated every failed run as an opportunity to learn something new. Each test improved our understanding of coding, robotics, and teamwork, and every challenge pushed us closer to success.