Finite-state technology is considered the preferred model for representing the phonology and morphology of natural languages. The attractiveness of this technology for natural lang...
Abstract. When a robot learns to solve a goal-directed navigation task with reinforcement learning, the acquired strategy can usually exclusively be applied to the task that has be...
One important design decision for the development of autonomously navigating mobile robots is the choice of the representation of the environment. This includes the question which...
If spatial cognition hopes to understand memory of and reasoning about real-world environments, then all aspects of the environment, both spatial and non-spatial need to be conside...
Holly A. Taylor, Qi Wang, Stephanie A. Gagnon, Kei...
Abstract. We present a purely vision-based scheme for learning a topological representation of an open environment. The system represents selected places by local views of the surr...