debug inconsistent autonomous runs on lego spike pybricks robots. use when a competition robot works sometimes, misses turns, drifts, loses the line, mis-times an attachment, or behaves differently between practice and match conditions.
debug inconsistent autonomous runs on lego spike pybricks robots. use when a competition robot works sometimes, misses turns, drifts, loses the line, mis-times an attachment, or behaves differently between practice and match conditions.
Competition Debugger
Overview
Diagnose inconsistent behavior by narrowing the fault tree quickly and recommending the smallest next experiment that can prove or disprove a likely cause.
Workflow
Collect evidence in this order.
symptom.
frequency.
last successful version.
recent mechanical or code changes.
whether the failure is directional, speed-dependent, battery-dependent, or table-dependent.
Match the symptom against references/fault-tree.md.
Rank causes by probability and test cost.
Recommend one change at a time.
Return the result in this order.
likely causes ranked.
quickest discriminating test.
code or build change only if justified.
validation steps before the next official run.
Rules
Do not suggest ten simultaneous changes.
Prefer tests that separate mechanical, sensing, and logic faults.
If the robot fails only after a first mission, inspect reset assumptions first.
If the robot fails only at higher speed, mention slip and settling time early.
Ask for a short video or exact failure moment when the description is too vague to rank causes confidently.
Resources
Use references/fault-tree.md as the main diagnosis map.
