Abstract
Many games, in particular RTS games, are populated by synthetic humanoid actors that act as autonomous agents. The navigation of these agents is yet a challenge if the problem involves finding a precise route in a virtual world (path-planning), and moving realistically according to its own personality, intentions and mood (motion planning). In this paper we present several complementary approaches recently developed by our group to produce quality paths, and to guide and interact with the navigation of autonomous agents. Our approach is based on a BVP Path Planner that generates potential fields through a differential equation whose gradient descent represents navigation routes. Resulting paths can deal with moving obstacles, are smooth, and free from local minima. In order to evaluate the algorithms, we implemented our path planner in a RTS game engine.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
van den Berg, J., Patil, S., Sewall, J., Manocha, D., Lin, M.: Interactive navigation of multiple agents in crowded environments. In: Proc. of the Symposium on Interactive 3D Graphics and Games, pp. 139–147. ACM Press, New York (2008)
Burgess, R.G., Darken, C.J.: Realistic human path planning using fluid simulation. In: Proc. of Behavior Representation in Modeling and Simulation, BRIMS (2004)
Choi, M.G., Lee, J., Shin, S.Y.: Planning biped locomotion using motion capture data and probabilistic roadmaps. ACM Trans. Graph. 22(2), 182–203 (2003)
Dapper, F., Prestes, E., Nedel, L.P.: Generating steering behaviors for virtual humanoids using BVP control. In: Proc. of CGI, vol. 1, pp. 105–114 (2007)
Dietrich, C.A., Nedel, L.P., Comba, J.L.D.: A sketch-based interface to real-time strategy games based on a cellular automation. In: Game Programming Gems, vol. 7, pp. 59–67. Charles River Media, Boston (2008)
Fischer, L.G., Silveira, R., Nedel, L.: Gpu accelerated path-planning for multi-agents in virtual environments. SB Games, 101–110 (2009)
Funge, J.D.: Artificial Intelligence For Computer Games: An Introduction. A. K. Peters, Ltd., Natick (2004)
James, J., Kuffner, J.: Goal-directed navigation for animated characters using real-time path planning and control. In: Magnenat-Thalmann, N., Thalmann, D. (eds.) CAPTECH 1998. LNCS (LNAI), vol. 1537, pp. 171–186. Springer, Heidelberg (1998)
Kallmann, M.: Shortest Paths with Arbitrary Clearance from Navigation Meshes. In: Symposium on Computer Animation, SCA (2010)
Kavraki, L., Svestka, P., Latombe, J.C., Overmars, M.: Probabilistic roadmaps for path planning in high-dimensional configuration space. IEEE Trans. on Robotics and Automation 12(4), 566–580 (1996)
Metoyer, R.A., Hodgins, J.K.: Reactive pedestrian path following from examples. Visual Comput. 20(10), 635–649 (2004)
Nieuwenhuisen, D., Kamphuis, A., Overmars, M.H.: High quality navigation in computer games. Sci. Comput. Program. 67(1), 91–104 (2007)
Pettre, J., Simeon, T., Laumond, J.: Planning human walk in virtual environments. In: Int. Conf. on Intelligent Robots and System, vol. 3, pp. 3048–3053 (2002)
Silveira, R., Dapper, F., Prestes, E., Nedel, L.: Natural steering behaviors for virtual pedestrians. Visual Comput. (2009)
Silveira, R., Prestes, E., Nedel, L.P.: Managing coherent groups. Comput. Animat. Virtual Worlds 19(3-4), 295–305 (2008)
Tecchia, F., Loscos, C., Conroy, R., Chrysanthou, Y.: Agent behaviour simulator (abs): A platform for urban behaviour development. In: Proc. Game Technology, 2001 (2001)
Treuille, A., Cooper, S., Popović, Z.: Continuum crowds. In: ACM SIGGRAPH, pp. 1160–1168. ACM Press, New York (2006)
Trevisan, M., Idiart, M.A.P., Prestes, E., Engel, P.M.: Exploratory navigation based on dynamic boundary value problems. J. Intell. Robot. Syst. 45(2), 101–114 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Silveira, R., Fischer, L., Ferreira, J.A.S., Prestes, E., Nedel, L. (2010). Path-Planning for RTS Games Based on Potential Fields. 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_38
Download citation
DOI: https://doi.org/10.1007/978-3-642-16958-8_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16957-1
Online ISBN: 978-3-642-16958-8
eBook Packages: Computer ScienceComputer Science (R0)