DEACCON work – interface more granular loading of models features for FLAIRS papers
Committee and PhD proposal setup targeting week of December 7th
FLAIRS paper
Hyp: It is possible to discover a navigation mesh using information gained from one or more agents moving through the world.
Applications: Simulations of Search and rescue in unknown environments, more “fair” agents for games and simulations, others
Approach: Crib some of the D* working with unknown areas and combine that with dynamic rebuilding of decomps. Assume world is empty then rebuild when this assumption is invalidated.
Validation and Experimentation: Compare the error levels present in a agents generated decomposition (incorrectly classified space, missed gateways, average path lengths) to the “optimum decomposition” in a time lapsed manor. How quickly does agent discovery converge on optimum decomp?