Abstract. Many heuristic estimators for classical planning are based on the socalled delete relaxation, which ignores negative effects of planning operators. Ideally, such heuristi...
— We explore global randomized joint space path planning for articulated robots that are subject to task space constraints. This paper describes a representation of constrained m...
— In this paper we demonstrate path planning for our formation space that represents permutation-invariant multirobot formations. Earlier methods generally pre-assign roles for e...
While several researchers have applied case-based reasoning techniques to games, only Ponsen and Spronck (2004) have addressed the challenging problem of learning to win real-time ...
David W. Aha, Matthew Molineaux, Marc J. V. Ponsen
Why is probabilistic roadmap (PRM) planning probabilistic? How does the probability measure used for sampling a robot’s configuration space affect the performance of a PRM plan...