Highlights
Task:
Task 16 – Spike: Navigation with Graphs Context:
Moving agents that intelligently plan and navigate environments, both static and dynamic, is a common and useful problem to solve. The solutions are relevant in both a game context, as well as real-world navigation and routing problems. In this spike you will create a simulation where agents plan paths using heuristic search algorithms, and then navigate the environment using steering-based movement. The result is a solid basis for a tower-defence game, and can be used for a custom project that uses a combination of techniques. Knowledge/Skill Gap: Developers need to be able to create and navigation graphs for dynamic environments so that moving agents can move in an environment. Goals/Deliverables: Create a navigation graph simulation that demonstrates the following • A game world that is divided into navigation tiles, and that supports a navigation graph structure.
• A path-planning system that can create paths for agents, based on the current dynamic environment, using costbased heuristic algorithms.
• Demonstrate multiple independent moving agent characters (at least four), of different types (at least two), that are able to each follow their own independent paths.
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