Abstract
Aimée Vargas E., Jyh-Ming Lien, Nancy M. Amato, "VIZMO++: a Visualization, Authoring, and Educational Tool for Motion Planning," In Proc. IEEE Int. Conf. Robot.
Autom. (ICRA), pp. 727-732, Orlando, Florida, To appear, May 2006.
Proceedings(ps, pdf, abstract)
Comprehension of concepts and algorithms involved in the robotics
field can be improved through the use of an interactive visualization
tool. In this paper we present an interactive tool for visualizing and
editing motion planning environments, problem instances, and their
solutions. Teachers can take advantage of visualization tools to help
their students to better understand motion planning and its complexity
as well as the different strategies that have been developed to solve
the motion planning problem. While the tool we present allows the
animation, manipulation, and evaluation of solution paths found by any
motion planner, it is specialized for sampling-based randomized
planners such as Probabilistic Roadmap (PRM) and Rapidly-Exploring Random Tree (RRT) methods.