Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Tansel Uras"'
Autor:
Tansel Uras, Sven Koenig
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 9:106-114
Subgoal graphs can be constructed on top of graphs during a preprocessing phase to speed-up shortest path queries. They have an undominated query-time/memory trade-off in the Grid-Based Path Planning Competitions. While grids are useful for path plan
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 6:2-8
Multi-agent path-finding (MAPF) is important for applications such as the kind of warehousing done by Kiva systems. Solving the problem optimally is NP-hard, yet finding low-cost solutions is important. Bounded-suboptimal MAPF algorithms, such as enh
Autor:
Tansel Uras, Sven Koenig
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 6:206-210
We compare five any-angle path-planning algorithms, Theta*, Block A*, Field D*, ANYA, and Any-Angle Subgoal Graphs in terms of solution quality and runtime. Any-angle path-planning is a fairly new research area, and no direct comparison exists betwee
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 10:44-51
Multi-Agent Motion Planning (MAMP) is the task of finding conflict-free kinodynamically feasible plans for agents from start to goal states. While MAMP is of significant practical importance, existing solvers are either incomplete, inefficient or rel
Autor:
Tansel Uras, Sven Koenig
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 8:100-108
Search using subgoal graphs is a recent preprocessing-based path-planning algorithm that can find shortest paths on 8-neighbor grids several orders of magnitude faster than A*, while requiring little preprocessing time and memory overhead. In this pa
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 11:106-110
Paths found on grid graphs are often unrealistic looking in the continuous environment that the grid graph represents and often need to be smoothed after a search. The well-known algorithm for path smoothing is greedy in nature and does not necessari
Autor:
Nathan Sturtevant, Jason Traish, James Tulip, Tansel Uras, Sven Koenig, Ben Strasser, Adi Botea, Daniel Harabor, Steve Rabin
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 6:241-250
The Grid-Based Path Planning Competition has just completed its third iteration. The entriesused in the competition have improved significantly during this time, changing the view ofthe state of the art of grid-based pathfinding. Furthermore, the ent
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 11:108-114
Video-game designers often tessellate continuous 2-dimensional terrain into a grid of blocked and unblocked square cells. The three main ways to calculate short paths on such a grid are to determine truly shortest paths, shortest vertex paths and sho
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 3:159-161
Incremental search algorithms, such as D* Lite, reuse information from previous searches to speed up the current search and can thus solve sequences of similar search problems faster than Repeated A*, which performs repeated A* searches. In this posi
Teaching Undergraduate Artificial Intelligence Classes: An Experiment with an Attendance Requirement
Publikováno v:
AAAI
We report on an experiment that we performed when we taught the undergraduate artificial intelligence class at the University of Southern California. We taught it – under very similar conditions – once with and once without an attendance requirem