Teach a robot to correct itself.
Strong solutions begin before the code. Identify the true problem, reduce it to facts, then teach the robot how to notice and correct a miss.
Line followers, camera gimbals, factory arms, and cruise control all begin with the same discipline: name the real problem before choosing a solution.
Identify the problem
A visible failure is often only a symptom. Begin by asking what the robot is actually unable to know or change.
Accuracy is the first mission.
For an FLL team, the number one problem is not whether the robot looks smooth. It is whether the robot reaches the target accurately and repeats that result often enough to earn a high success rate.
What must every FLL run satisfy?
Choose the statement you would take into an engineering discussion. A good problem statement makes a better test possible.
The algorithm is small. The thinking travels.
When a robot moves, ask the same three questions: what is wrong now, what has kept happening, and what is changing quickly?