Abstract
In this paper, we present a method to implement a navigation system for an intelligent agent that exists in a virtual world to generate collision-free motion. To observe the world, the agent uses virtual sensors consisting of the depth buffer information of a rendered image of the scene. This information is used to generate low-level collision avoidance, obstacle avoidance when moving to intermediate goals, and to create an accessibility graph and an obstacle map of the environment. The agent does not require access to the internal representation of the virtual world, which is similar to perception in mobile robots in the real world. Furthermore, the algorithm used is fast enough to work in real time.
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References
Reynolds C W. Not bumping into things. Notes on ‘obstacle avoidance’ for the course on Physically Based Modeling at SIGGRAPH 88, August 1–5, Atlanta, GA, 1988, AcMSIGGRAPH
Terzopoulos D, Rabie Videre TF. Animat vision: active vision in artificial animals. Journal of Computer Vision Research 1997: 1: pp 2–19
Kuffner JJ, Jr, Latombe J-C. Fast synthetic vision, memory, and learning models for virtual humans. In: Proceedings Computer Animation 1999; pp 118–127
Thrun S. Learning metric-topological maps for indoor mobile robot navigation. Artificial Intelligence 1988; 99: 21–71
Thrun S, Bücken A. Integrating grid-based and topological maps for mobile robot navigation. In: Proceedings of the 13th National Conference on Artificial Intelligence. AAAI, Portland, OR, August 1996, pp 944–950
Zhukov S, Iones A, Kronin G. Navigation of intelligent characters in complex 3D synthetic environments in real-time applications. In: Proceedings of WSCG'98; 456–463
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Monsieurs, P., Coninx, K. & Flerackers, E. Collision avoidance and map construction using synthetic vision. Virtual Reality 5, 72–81 (2000). https://doi.org/10.1007/BF01424338
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DOI: https://doi.org/10.1007/BF01424338