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Voxel Based Pathfinding with Jumping for Games

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Progress in Artificial Intelligence (EPIA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11804))

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Abstract

Pathfinding plays a vital role in video games, whether in terms of gameplay mechanics or player immersion. Commonly used methods only allow the simplest types of movements like walking and running. Although seldom, other types of movement like swimming and flying are also considered. Even rarer are mechanisms that natively contemplate jumps, without the need of extra intervention of game developers. Most games overlook these movements on Non Player Characters, affecting player experience. This article discusses the limitations of Navigation Meshes when it comes to take jumps into consideration and proposes a new solution using grid-based any-angle pathfinding. Each cell of this navigation grid constitutes a voxel that delimits a small 3D space and is expressed in a shape of a cube. Voxels discretize the game world and are explored by a search algorithm to achieve pathfinding with jumps. Performance is critical and found paths should be optimal and efficient. Results show that the proposed solution can be successfully applied in game development.

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References

  1. Sturtevant, Nathan R.: Moving path planning forward. In: Kallmann, M., Bekris, K. (eds.) MIG 2012. LNCS, vol. 7660, pp. 1–6. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-34710-8_1

    Chapter  Google Scholar 

  2. Mononen, M.: Recast Navigation (2009). https://github.com/recastnavigation/recastnavigation. Accessed 16 July 2018

  3. Madhav, S.: Game programming algorithms and techniques: a platform-agnostic approach. In: Pearson Education, pp. 180–192 (2014)

    Google Scholar 

  4. Daniel, K., Nash, A., Koenig, S., Felner, A.: Theta*: any-angle path planning on grids. J. Artif. Intell. Res. 39, 533–579 (2010)

    Article  MathSciNet  Google Scholar 

  5. Yap, P., Burch, N., Holte, R.C., Schaeffer, J.: Any-angle path planning for computer games. In: Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-11), pp. 201–207 (2011)

    Google Scholar 

  6. Abd Algfoor, Z., Sunar, M.S., Kolivand, H.: A comprehensive study on pathfinding techniques for robotics and video games. Int. J. Comput. Games Technol. 2015, 11 (2015)

    Article  Google Scholar 

  7. Nash, A., Koenig, S.: Any-angle path planning. AI Mag. 34(4), 85–107 (2013)

    Article  Google Scholar 

  8. Sreedharan, V.: DoN AI Navigation–A free plugin for Unreal Engine 4, Drunk On Nectar - The Nature Simulator (2017). http://www.drunkonnectar.com/3d-pathfinding-ue4/. Accessed 16 Apr 2019

  9. Andrade, E., Coelho, B., Reis, G., Grilo, C.: JumpingAI–autonomous jumping for unreal engine 4. In: Conference of Sciences and Arts of Video Games (Videogames 2017) (2017)

    Google Scholar 

  10. Rama, AI Navigation in C ++, Customize Path Following Every Tick. https://wiki.unrealengine.com/AI_Navigation_in_C%2B%2B,_Customize_Path_Following_Every_Tick. Accessed 16 July 2018

  11. Unity|Documentation : Building Off-Mesh Links Automatically. https://docs.unity3d.com/Manual/nav-BuildingOffMeshLinksAutomatically.html. Accessed 16 July 2019

  12. Yao, J., Lin, C., Xie, X., Wang, A.J., Hung, C.-C.: Path planning for virtual human motion using improved A* star algorithm. In: 2010 Seventh International Conference on Information Technology: New Generations, pp. 1154–1158 (2010)

    Google Scholar 

  13. Hart, P.E., Nilsson, N.J., Raphael, B.: Formal basis for the heuristic determination of minimum cost paths. IEEE Trans. Syst. Sci. Cybern. 4(2), 100–107 (1968)

    Article  Google Scholar 

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Correspondence to Gustavo Reis .

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Silva, G., Reis, G., Grilo, C. (2019). Voxel Based Pathfinding with Jumping for Games. In: Moura Oliveira, P., Novais, P., Reis, L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science(), vol 11804. Springer, Cham. https://doi.org/10.1007/978-3-030-30241-2_6

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  • DOI: https://doi.org/10.1007/978-3-030-30241-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30240-5

  • Online ISBN: 978-3-030-30241-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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