A game-theoretic framework for robot motion planning

The primary contribution of this dissertation is the presentation of a dynamic game-theoretic framework that is used as an analytical tool and unifying perspective for a wide class of problems in robot motion planning. The framework provides a precise mathematical characterization that can incorporate any of the essential features of decision theory, stochastic optimal control, and traditional multiplayer games. The determination of strategies that optimize some precise performance functionals is central to these subjects, and is of fundamental value for many types of motion planning problems.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Engineering, Electronics and Electrical

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• LaValle, Steven Michael

Contributors dc:contributor

• Hutchinson, Seth A.

• Engineering, Electronics and Electrical
• Computer Science

Statement dc:rights

• Copyright 1995 LaValle, Steven Michael

Language dc:language

eng

Identifier

AAI9624406
(UMI)AAI9624406

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/23609