Red Corridor

A grid-based maze and corridor system focused on path construction, traversal logic, and constraint-driven movement.

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Overview

RedCorridor is a programming project centered on navigating structured corridors within a constrained grid environment. The project explores how movement rules, spatial constraints, and path logic interact to determine valid traversal through a maze-like system.

The emphasis of the project is on algorithmic reasoning and control flow, rather than visual presentation, making it a strong demonstration of problem-solving and systems thinking.

Key Features

  • •Grid-based environment with constrained corridors and movement rules
  • •Deterministic traversal logic enforcing valid paths and boundaries
  • •Clear separation between environment representation and movement logic
  • •Structured input and state tracking for player or agent position
  • •Focus on correctness, edge cases, and rule enforcement

Tech Stack

Frontend

JavaFX, FXML scene

Backend

Java

DevOps & Deployment

Apache Maven, Maven Surefire, JaCoCo, JAR artifact

Challenges & Solutions

Challenge:

Ensuring movement logic respects corridor constraints and grid boundaries without allowing invalid states.

Solution:

Implemented explicit rule checks and state validation at each movement step, preventing illegal transitions.

Challenge:

Keeping traversal logic readable and maintainable as conditions increased.

Solution:

Structured the logic into clear, modular components representing grid state, movement rules, and updates.

Challenge:

Debugging edge cases where paths terminate or become invalid.

Solution:

Used systematic testing of boundary conditions and step-by-step state inspection to verify correctness.

Learning Outcomes

  • ✓Strengthened understanding of grid-based algorithms and spatial reasoning.
  • ✓Developed experience designing rule-driven movement systems with strict state validation.
  • ✓Improved ability to reason about edge cases, constraints, and invariants in algorithmic problems.
  • ✓Practiced writing clear, maintainable logic for systems where correctness is critical.
  • ✓Built confidence working on lower-level problem-solving tasks foundational to larger systems.