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Way to Go: A Framework for Multi-Level Planning in Games

Discover a sophisticated framework for multi-level planning in games, offering solutions for path planning, navigation meshes, collision avoidance, and crowd simulation. Learn about planning hierarchy, explicit corridor mapping, route planning, and route following to enhance game character interactions.

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Way to Go: A Framework for Multi-Level Planning in Games

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  1. Way to go: A framework for multi-level planning in games Norman Jaklin Wouter van Toll Roland Geraerts Department of Information and Computing Sciences Utrecht University, The Netherlands

  2. About us • Norman Jaklin, Wouter van Toll: PhD Students • Roland Geraerts: Assistant Professor • Part of the Games and Virtual Worlds group • Research on animation, motion planning, ... • For us: path planning andcrowd simulation Way to go: A framework for multi-level planning in games

  3. Path planning in games • Finding a path for one character • A* on a grid • Navigation meshes • Many characters: crowd simulation • Individual goals • Collision avoidance • Problem solved? • Approximations, assumptions, memory • We need an efficient and flexible framework Way to go: A framework for multi-level planning in games

  4. Planning hierarchy • Five levels • 5: ICAPS / PG • 4/3/2: our framework • Navigation mesh • Indicative routes • Velocity-based models Way to go: A framework for multi-level planning in games

  5. Our framework • Explicit Corridor Map: navigation mesh • Computed automatically • Clearance info: supports all character sizes • 2D and multi-layered environments • Dynamic updates • Visibility queries Way to go: A framework for multi-level planning in games

  6. Our framework • Level 4: Route planning • Medial axis  corridor • Any route in the corridor (e.g. the shortest) • Or: visibility, crowd density, ... • Result: indicative route (IR) Way to go: A framework for multi-level planning in games

  7. Our framework • Level 3: Route following • Character follows IR smoothly: attraction point • Indicative Route Method: basic • MIRAN: supports terrain preferences • Level 2: Local movement • Preferred velocity  actual velocity • Collision avoidance: many models exist Way to go: A framework for multi-level planning in games

  8. Demo Way to go: A framework for multi-level planning in games

  9. Current / Future work • Crowds in dynamic environments • Combinations with... • Game engines (Unity) • High-level planning? Way to go: A framework for multi-level planning in games

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