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Moving Path Planning Forward

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7660))

Abstract

Path planning technologies have rapidly improved over the last 10 years, but further integration is needed if pathfinding engines are to drive the behavior of even more realistic characters. This paper briefly outlines existing approaches for path planning and suggests scenarios where integration of information about character’s relationships could improve the quality of path planning in games.

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References

  1. Hart, P., Nilsson, N.J., Raphael, B.: A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on Systems Science and Cybernetics 4, 100–107 (1968)

    Article  Google Scholar 

  2. Zahavi, U., Felner, A., Schaeffer, J., Sturtevant, N.R.: Inconsistent heuristics. In: National Conference on Artificial Intelligence (AAAI 2007), pp. 1211–1216 (2007)

    Google Scholar 

  3. Sturtevant, N.: Memory-efficient abstractions for pathfinding, pp. 31–36 (2007)

    Google Scholar 

  4. Floyd, R.W.: Algorithm 97: Shortest path. Commun. ACM 5(6), 345 (1962)

    Article  Google Scholar 

  5. Sturtevant, N., Felner, A., Barer, M., Schaeffer, J., Burch, N.: Memory-based heuristics for explicit state spaces. In: International Joint Conference on Artificial Intelligence (IJCAI 2009), pp. 609–614 (2009)

    Google Scholar 

  6. Botea, A.: Ultra-fast Optimal Pathfinding without Runtime Search. In: Proceedings of the Conference on AI and Interactive Digital Entertainment (AIIDE 2011), pp. 122–127 (2011)

    Google Scholar 

  7. Bast, H., Funke, S., Sanders, P., Schultes, D.: Fast Routing in Road Networks with Transit Nodes. Science 316, 566 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  8. Jurney, C.: Postprocessing for high-quality turns. In: AI Programming Wisdom 4. Charles River Media (2008)

    Google Scholar 

  9. Sturtevant, N.: Optimizing motion-constrained pathfinding (2009)

    Google Scholar 

  10. Snape, J., van den Berg, J.P., Guy, S.J., Manocha, D.: The hybrid reciprocal velocity obstacle. IEEE Transactions on Robotics 27(4), 696–706 (2011)

    Article  Google Scholar 

  11. Reynolds, C.W.: Flocks, herds and schools: A distributed behavioral model. In: Stone, M.C. (ed.) SIGGRAPH, pp. 25–34. ACM (1987)

    Google Scholar 

  12. Treuille, A., Cooper, S., Popovic, Z.: Continuum crowds. ACM Trans. Graph. 25(3), 1160–1168 (2006)

    Article  Google Scholar 

  13. Gayle, R., Moss, W., Lin, M.C., Manocha, D.: Multi-robot coordination using generalized social potential fields. In: ICRA, pp. 106–113. IEEE (2009)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Sturtevant, N.R. (2012). Moving Path Planning Forward. In: Kallmann, M., Bekris, K. (eds) Motion in Games. MIG 2012. Lecture Notes in Computer Science, vol 7660. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34710-8_1

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  • DOI: https://doi.org/10.1007/978-3-642-34710-8_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34709-2

  • Online ISBN: 978-3-642-34710-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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