How does data logging improve autonomous performance?

• A. It slows down the autonomous mode to save power.
• B. It provides data to analyze errors, tune parameters, and verify behavior.
• C. It replaces the need for testing.
• D. It records only the battery level.

Answer: (B)

Data logging in autonomous systems captures sensor readings, state estimates, decisions, and actuator commands during a run, giving you a complete picture of what the robot perceived, how it interpreted that information, and what actions it took. With that data, you can pinpoint where things went wrong, such as perception errors leading to incorrect decisions or timing issues in control. Analyzing these logs lets you tune parameters, thresholds, and decision logic to improve accuracy, robustness, and safety. After making adjustments, you can replay or simulate the same scenarios to verify that the changes produce the desired behavior, making performance more reliable across different runs and conditions. While logging battery levels or other simple metrics can be useful, the real value lies in the detailed data that supports analysis, tuning, and verification.