We propose a novel combination of techniques for robustly estimating the position of a mobile robot in outdoor environments using range data. Our approach applies a particle filte...
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We believe that access to semantic maps will make it poss...
Martin Persson, Tom Duckett, Christoffer Valgren, ...
— In this paper we address the joint problems of automated data acquisition and view planning for large–scale indoor and outdoor sites. Our method proceeds in two distinct stag...
Robotics research is dependent on intelligent, fast, accurate, reliable and cheap sensors. Sonar sensing can fulfil these requirements. Moreover sonar physics provides robotics re...
An asynchronous stochastic approximation based (Frequentist) approach is proposed for mapping using noisy mobile sensors under two different scenarios: 1) perfectly known sensor ...