Abstract
In 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.
| Original language | English (US) |
|---|---|
| Title of host publication | 2010 IEEE International Conference on Robotics and Automation |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 350-355 |
| Number of pages | 6 |
| ISBN (Print) | 9781424450381 |
| DOIs | |
| State | Published - May 2010 |
| Externally published | Yes |
Bibliographical note
KAUST Repository Item: Exported on 2020-10-01Acknowledged KAUST grant number(s): KUS-C1–016-04
Acknowledgements: This 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.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.