Abstract
In this work, we describe an approach for modeling and simulating group behaviors for pursuit-evasion that uses a graph-based representation of the environment and integrates multi-agent simulation with roadmap-based path planning. We demonstrate the utility of this approach for a variety of scenarios including pursuit-evasion on terrains, in multi-level buildings, and in crowds.
This research supported in part by NSF awards CRI-0551685, CCF-0833199, CCF-0830753, IIS-096053, IIS-0917266, NSF/DNDO award 2008-DN-077-ARI018-02, by the DOE NNSA under the Predictive Science Academic Alliances Program by grantDE-FC52-08NA28616, by THECB NHARP award 000512-0097-2009, by Chevron, IBM, Intel, HP, Oracle/Sun and by King Abdullah University of Science and Technology (KAUST) Award KUS-C1-016-04.
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References
Amato, N.M., Bayazit, O.B., Dale, L.K., Jones, C.V., Vallejo, D.: OBPRM: An obstacle-based PRM for 3D workspaces. In: Robotics: The Algorithmic Perspective, Natick, MA, pp. 155–168. A.K. Peters, Wellesley (1998); Proc. Third Workshop on Algorithmic Foundations of Robotics (WAFR), Houston, TX (1998)
Bayazit, O.B., Lien, J.-M., Amato, N.M.: Better flocking behaviors using rule-based roadmaps. In: Proc. Int. Workshop on Algorithmic Foundations of Robotics (WAFR), pp. 95–111 (December 2002)
Bayazit, O.B., Lien, J.-M., Amato, N.M.: Better group behaviors in complex environments using global roadmaps. Artif. Life, 362–370 (December 2002)
Bayazit, O.B., Lien, J.-M., Amato, N.M.: Roadmap-based flocking for complex environments. In: Proc. Pacific Graphics, pp. 104–113 (October 2002)
Burgard, W., Moors, M., Fox, D., Simmons, R., Thrun, S.: Collaborative multi-robot exploration. In: Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp. 476–481 (2000)
Durham, J.W., Franchi, A., Bullo, F.: Distributed pursuit-evasion with limited-visibility sensors via frontier-based exploration. In: Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp. 3562–3568 (2010)
Gerkey, B.P., Thrun, S., Gordon, G.: Visibility-based pursuit-evasion with limited field of view. Int. J. Robot. Res. 25(4), 299–315 (2006)
Guibas, L.J., Latombe, J.c., Lavalle, S.M., Lin, D., Motwani, R.: Visibility-based pursuit-evasion in a polygonal environment. International Journal of Computational Geometry and Applications, 17–30 (1997)
Isler, V., Kannan, S., Khanna, S.: Randomized pursuit-evasion with limited visibility. In: Proc. ACM-SIAM Symposium on Discrete Algorithms, pp. 1060–1069 (2004)
Isler, V., Sun, D., Sastry, S.: Roadmap based pursuit-evasion and collision avoidance. In: Proc. Robotics: Sci. Sys., RSS (2005)
Kavraki, L.E., Švestka, P., Latombe, J.C., Overmars, M.H.: Probabilistic roadmaps for path planning in high-dimensional configuration spaces. IEEE Trans. Robot. Automat. 12(4), 566–580 (1996)
Kim, H.J., Vidal, R., Shim, D.H., Shakernia, O., Sastry, S.: A hierarchical approach to probabilistic pursuit-evasion games with unmanned ground and aerial vehicles. In: Proc. IEEE Conf. on Decision and Control, pp. 634–639 (2001)
Kolling, A., Carpin, S.: Multi-robot pursuit-evasion without maps. In: Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp. 3045–3051 (2010)
Kolling, A., Kleiner, A., Lewis, M., Sycara, K.: Solving pursuit-evasion problems on height maps. In: IEEE International Conference on Robotics and Automation (ICRA 2010) Workshop: Search and Pursuit/Evasion in the Physical World: Efficiency, Scalability, and Guarantees (2010)
Kolling, A., Carpin, S.: Pursuit-evasion on trees by robot teams. Trans. Rob. 26(1), 32–47 (2010)
Lavalle, S.M., Lin, D., Guibas, L.J., Latombe, J.c., Motwani, R.: Finding an unpredictable target in a workspace with obstacles. In: Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp. 737–742 (1997)
Parsons, T.D.: Pursuit-evasion in a graph. In: Theory and Applications of Graphs. Lecture Notes in Mathematics, vol. 642, pages 426–441. Springer, Heidelberg (1978)
Reynolds, C.W.: Flocks, herds, and schools: A distributed behavioral model. In: Computer Graphics, pp. 25–34 (1987)
Sud, A., Andersen, E., Curtis, S., Ming, L., Manocha, D.: Real-time path planning for virtual agents in dynamic environments. In: Virtual Reality Conference (March 2007)
Tovar, B., Murrieta-Cid, R., LaValle, S.M.: Distance-optimal navigation in an unknown environment without sensing distances. IEEE Transactions on Robotics 23(3), 506–518 (2007)
Treuille, A., Cooper, S., Popovi, Z.: Continuum crowds. ACM Trans. Graph. 25(3), 1160–1168 (2006)
van den Berg, J., Patil, S., Sewall, J., Manocha, D., Lin, M.: Interactive navigation of multiple agents in crowded environments. In: Proc. Symposium on Interactive 3D Graphics and Games - I3D 2008 (2008)
Wilmarth, S.A., Amato, N.M., Stiller, P.F.: MAPRM: A probabilistic roadmap planner with sampling on the medial axis of the free space. In: Proc. IEEE Int. Conf. Robot. Autom. (ICRA), vol. 2, pp. 1024–1031 (1999)
Yamauchi, B.: Frontier-based exploration using multiple robots. In: International Conference on Autonomous Agents (Agents 1998), pp. 47–53 (1998)
Yu, J., LaValle, S.M.: Probabilistic shadow information spaces. In: Proc. IEEE Int. Conf. Robot. Autom. (ICRA), pp. 3543–3549 (2010)
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Rodriguez, S., Denny, J., Zourntos, T., Amato, N.M. (2010). Toward Simulating Realistic Pursuit-Evasion Using a Roadmap-Based Approach. In: Boulic, R., Chrysanthou, Y., Komura, T. (eds) Motion in Games. MIG 2010. Lecture Notes in Computer Science, vol 6459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16958-8_9
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