In the last three years, several “radically new” and promising approaches have been developed for tackling the plan synthesis problem. Currently, these approaches exist in iso...
Absorptions are generally employed in Description Logics (DL) reasoners in a uniform way regardless of the structure of an input knowledge base. In this paper we present an approac...
We present a new algorithm for conformant probabilistic planning, which for a given horizon produces a plan that maximizes the probability of success under quantified uncertainty ...
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
This paper provides general information about research at the University of Auckland into autonomous agents in highly dynamic environments, in particular in RoboCup. The paper desc...