— In this paper we propose a SLAM framework which is based on an algorithm that combines an Unscented Particle Filter (UPF) and Unscented Kalman Filters (UKFs). A UPF is used to ...
Abstract. Recent successful SLAM methods employ hybrid map representations combining the strengths of topological maps and occupancy grids. Such representations often facilitate mu...
Generation of a sequence of behaviors is necessary for the RoboCup Humanoid league to realize not simply a individual robot performance but also cooperative ones between robots. A ...
Policy learning which allows autonomous robots to adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. However, ...
We present a novel, laser range finder based algorithm for simultaneous localization and mapping (SLAM) for mobile robots. SLAM addresses the problem of constructing an accurate ...