Abstract— Particle filters have been applied with great success to various state estimation problems in robotics. However, particle filters often require extensive parameter tw...
— Motion safety for robotic systems operating in the real world is critical (especially when their size and dynamics make them potentially harmful for themselves or their environ...
— 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 ...
— New technologies and processes enhance the need for direct human-robot-interaction, to fully exploit the potential of robots’ accuracy and humans’ adaptability. Therefore, ...
— This paper presents two methods able to exploit the information at the loop closure in the SLAM problem. Both methods have three fundamental advantages. The first one is that ...