KAUST Grant NumberKUS-C1–016-04
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AbstractIn this work, we present a formulation of an evacuation planning problem that is inspired by motion planning and describe an integrated behavioral agent-based and roadmap-based motion planning approach to solve it. Our formulation allows users to test the effect on evacuation of a number of different environmental factors. One of our main focuses is to provide a mechanism to investigate how the interaction between agents influences the resulting evacuation plans. Specifically, we explore how various types of control provided by a set of directing agents effects the overall evacuation planning strategies of the evacuating agents. ©2010 IEEE.
CitationRodriguez S, Amato NM (2010) Behavior-based evacuation planning. 2010 IEEE International Conference on Robotics and Automation. Available: http://dx.doi.org/10.1109/robot.2010.5509502.
SponsorsThis research supported in part by NSF Grants EIA-0103742 ACR-0081510, ACR-0113971, CCR-0113974, ACI-0326350, CRI-0551685, and by the DOE. This research supported in part by NSF Grants CRI-0551685, ACI-0326350, CCF-0833199, CCF-0830753, IIS-096053, IIS-0917266, by Chevron, IBM, Intel, HP, and by King Abdullah University of Science and Technology CKAUST) Award KUS-C1–016-04. Rodriguez supported in part by a National Physical Science Consortium Fellowship.