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Main navigation | Main content
Monday, January 28, 2013
| Presenter: | Stephen Guy |
|---|---|
| Affiliation: | University of Minnesota |
| Website: | http://www.cs.umn.edu/people/faculty/sjguy |
| Time: | 11:15 - 12:15 |
| Location: | Keller Hall 3-125 |
From record-setting crowds at rallies and protests to futuristic swarms of robots, our world is currently experiencing a continuing rise of complex, distributed collections of independently acting entities. With potential applications such as predicting crowd disasters, improving robot cooperation, and enabling the next generation of air travel, developing models to reproduce, control, predict and understand these types of systems is becoming critically important.
In this talk, I will give an overview of recent predictive planning techniques that can be used to compute cooperative motion paths for a group of independent entities sharing the same physical space. I will focus on the special case of simulating human-like crowds, with applications to computer animation, virtual environments and architectural analysis. Specific topics will include uses of the principle of least effort for simulating crowds, data-driven strategies for modeling differences in personalities, and methods of validating crowd simulations against real world data.
Bio: Stephen J. Guy is an assistant professor in the Department of Computer Science and Engineering at the University of Minnesota. His research focuses on the areas of interactive computer graphics (real-time crowd simulation, path planning, intelligent virtual characters) and multi-robot coordination (collision avoidance, sensor fusion, path planning under uncertainty). Stephen's work on motion planning has been licensed for use in games and virtual environments by Relic Entertainment, EA, and other companies. Prior to joining Minnesota, he received his Ph.D. in Computer Science in 2012 from the University of North Carolina - Chapel Hill and his B.S. in Computer Engineering with honors from the University of Virginia in 2006.
