I knew the key insight was about direction after one full cycle, not just position.
Simulate one pass of the instructions while tracking the robot's final position and orientation. If the robot returns to the origin, it is bounded; if it faces north again but is not at the origin, it is unbounded; otherwise, it will eventually cycle and remain bounded. This uses constant space by only storing the final state.
Pro tip: Clearly explain the three cases and why they cover all possibilities, emphasizing that the robot's path repeats every 1 or 4 cycles, so checking one pass is sufficient.
Clarify that the robot starts at (0,0) facing north, and the instructions are repeated indefinitely. We need to determine if the robot's path stays within a finite region.
Process the instructions once, updating the robot's position (x, y) and direction (N, E, S, W) accordingly. Use constant space by only storing these variables.
After one pass, check: (a) if the robot is back at the origin, it will loop and remain bounded; (b) if it faces north but is not at the origin, it will drift away and be unbounded; (c) otherwise, it will cycle every 4 passes and remain bounded.
Based on the analysis, return true if bounded, false if unbounded. Explain why the three cases cover all possibilities.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.