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Shortest Path With Dynamic Obstacles

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Your question is Shortest Path With Dynamic Obstacles. Start with the requirements on the right.

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Problem

An & General Intuition robotic agent navigates a rectangular grid whose walls are permanent and whose obstacles move according to a repeating schedule. At each time step, the agent may move up, down, left, right, or wait. It may not enter a wall or a cell occupied by a dynamic obstacle at the arrival time.

Implement shortest_dynamic_path to return the shortest collision-free path from start to target, including both endpoints. If no path exists, return an empty list.

Formal Specification

  • grid is a list of equal-length strings. . is traversable and # is a permanent wall.
  • start and target are two-element lists [row, column].
  • blocked_by_time is a nonempty list of obstacle-position lists. blocked_by_time[t % P] gives the dynamic obstacles at time t, where P = len(blocked_by_time).
  • Each obstacle position is a two-element list [row, column].
  • Time starts at 0, and the start cell must be safe at time 0.
  • Return a list of positions representing a shortest path, or [] if unreachable.

Constraints

  • 1 <= rows, columns <= 50
  • 1 <= len(blocked_by_time) <= 20
  • rows * columns * len(blocked_by_time) <= 50,000
  • The obstacle schedule repeats periodically
  • The agent may move up, down, left, right, or wait
  • The start cell is safe at time 0

Function Signature

def shortest_dynamic_path(grid, start, target, blocked_by_time):
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