RBE COLLOQUIUM SERIES
Professor Wheeler Ruml
Fast Motion Planning Using Ideas from Graph Search
Much work on planning in the AI community is based on ideas from heuristic graph search algorithms such as A*. But the continuous nature of robot state spaces has meant that motion planning algorithms developed mostly independently from work on heuristic search in AI. However, this is changing, and several recent motion planning methods successfully exploit ideas from heuristic search. I'll review a few recent ideas in heuristic search and talk about how they can translate to motion planning.
Wheeler Ruml is a Professor of Computer Science at the University of New Hampshire. He was a co-founder of the International Symposium on Combinatorial Search (SoCS), served as associate editor of JAIR, and was general co-chair of the 2014 ICAPS Conference. Before joining UNH, he led a team at Xerox's PARC lab that used AI planning techniques to build the world's fastest printer.
Friday, November 2, 2018
2:00 p.m. - 3:00 p.m.
60 Gateway Park, GP #1002